Pricing | Datadog

Internal Developer Portal

Ship quickly and confidently with developer self-service, delivery guardrails, and live system data

Standard

Starting At

^$ 0

Start fast with centralized system metadata and recommended best practices.

Auto-discover your software components with Datadog telemetry
Centralize ownership and documentation alongside live system data
Assess production readiness out-of-the-box

Premium

Custom Quote

Drive adoption by customizing your developer portal, self-service actions, and tailored engineering insights.

Build Self-Service Actions using a library of prebuilt apps and workflows
Model your entire SDLC with any custom entity from third-party systems
Customize Scorecards for your engineering standards
Personalize the experience for any user across your engineering organization

Multi-Year/Volume discounts available

Features

Standard

Premium

Software Catalog

Add metadata for Datadog discovered components

Enrich your monitored components with metadata from ServiceNow and Backstage

Create and view custom fields and components

Model the relationships across components regardless of observability coverage

Import custom components directly from existing registries

Scorecards

Assess components against Datadog recommended rules

View and edit custom scorecards & rules

View historical metrics & analytics

Apply rules against non-Datadog monitored components

Self-Service Actions

Execute workflows

Create apps

View audit history

Access full blueprint library

View usage & analytics

Engineering Reports

View DORA Metric Report

View Reliability Report

View Scorecards Performance Report

Customize reports

View IDP apoption & analytics report

Tailored Overview Pages

Customizable landing page experience for developers

Customizable team performance overview page

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Infrastructure

See inside any stack, any app, at any scale, anywhere

Free

Starting At

^$ 0

Core collection and visualization features

1-day metric retention
Up to 5 hosts

Pro

Starting At

^$ 15

Per host,
per month*

Centralize your monitoring of systems, services, and serverless functions

900+ integrations
Out-of-the-box dashboards
15-month metric retention

*Billed annually or $18 on-demand

Enterprise

Starting At

^$ 23

Per host,
per month*

Advanced features and administrative controls

Machine learning-based alerts
Live Processes

*Billed annually or $27 on-demand

DevSecOps Pro

Starting At

^$ 22

Per host,
per month*

Secure your cloud resources and adhere to industry standards

Includes all features in Infrastructure Pro and Cloud Security Management (CSM) Pro

Cloud Security Posture Management (CSPM)
Kubernetes Security Posture Management (KSPM)
Built-in mapping of your resources to compliance frameworks to help with audits
Vulnerability Management (VM) for Containers & Hosts
Cloud Infrastructure Entitlement Management (CIEM)
Comprehensive inventory of cloud resources & linked risks
Case management

*Billed annually or $27 on-demand

DevSecOps Enterprise

Starting At

^$ 34

Per host,
per month*

Advanced risk and threat detection capabilities

Includes all features in Infrastructure Enterprise and Cloud Security Management (CSM) Enterprise

File integrity monitoring
Workload Protection for Linux, Windows Kubernetes, Docker, and AWS Fargate ECS/EKS
Increased container allotment (10 containers allotted per host license**)

*Billed annually or $41 on-demand

Multi-Year/Volume discounts available (500+ hosts/mo)

Custom Metrics: As low as $1 per 100 (see common questions)

Features

Free

Pro

Enterprise

Features

Standard Events and Metrics

Up to 5 hosts

Out-of-the-Box Dashboards

900+ Integrations

Host and Container Maps

Enterprise-Grade Security

Unlimited User Accounts

1-to-1 Collaboration on CoScreen

Full-Resolution Data Retention

1 day

15 months

15 months Customizable

Alerts

Unlimited

Container Monitoring

5 per host allotted

10 per host allotted

Custom Metrics

100 per host allotted

200 per host allotted

Custom Events

500 per host allotted

1000 per host allotted

Single Sign-On with SAML

Outlier Detection

Watchdog: Automated insights

Correlations

Anomaly Detection

Forecast Monitoring

Live Processes

Advanced Administrative Features

SCIM

IP Allowlist

DevSecOps

Infrastructure Monitoring

All features in Infrastructure Pro

All features in Infrastructure Enterprise

Cloud Security Posture Management (CSPM)

Kubernetes Security Posture Management (KSPM)

Built-in mapping of your resources to compliance frameworks to help with audits

Vulnerability management

Container images

Host images

Cloud Infrastructure Entitlement Management (CIEM)

File integrity monitoring

Workload Protection

Anomalous workload profile detection

Resource Catalog

Case management

Workflows

5 allotted workflow executions per host per month

20 allotted workflow executions per host per month

Containers

5 containers allotted per host per month

10 containers allotted per host per month

Add-ons

AWS Fargate (serverless containers)

$1 per task; includes an allotment of 5 custom metrics and 5 ingested custom metrics per function

IoT Device Monitoring

$5 per device; includes an allotment of 20 custom metrics and 20 ingested custom metrics per device

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

A host is any physical or virtual OS instance that you monitor with Datadog. It could be a server, VM, node (in the case of Kubernetes) or App Service Plan instance (in the case of Azure App Services).

How do I monitor containers?

The Datadog Agent runs in a container alongside any number of other containers on a host. From there it can collect metrics from its neighboring containers and from the host itself. Depending on your plan, you can monitor 5 or 10 containers free for each host license. Additional containers will be billed at $0.002 per container per hour. In addition, you can purchase prepaid containers at $1 per container per month.

What is a custom metric?

Datadog was designed to allow you to monitor your own custom applications and business metrics—not just your infrastructure. You can send any and all of your organization’s important metrics to Datadog for graphing, alerting, correlation, anomaly detection and more. Example uses: monitoring ad revenue, the rate at which shopping carts are abandoned, or the health of an in-game economy. Many customers find these metrics invaluable, especially when combined with infrastructure metrics.

How many custom metrics are allotted per host?

Datadog offers 100 custom metrics for every host monitored with Infrastructure Pro, or 200 custom metrics for every host monitored with Infrastructure Enterprise.

How do I get charged for additional custom metrics?

Beyond the volume of custom metrics allotted per host, Datadog charges as low as $1 per 100 custom metrics per month. or reach out to your Sales or Customer Success rep for more details.

How does Datadog count and meter custom metrics?

Custom metrics are counted hourly and averaged monthly across your entire account, not on a per-host basis. For more details around Custom Metrics metering, please see our Custom Metrics Billing FAQ.

What is a custom event?

Datadog allows you to send custom events coming from your own custom applications such as custom-built deployment tools or scheduled maintenance jobs. This way, you can correlate any of these events with performance metrics, create monitors for alerting and enrich events at intake with processing pipelines to be queried alongside other standard events.

How many events are allotted per host?

Datadog offers 500 custom events for every host monitored with infrastructure monitoring for pro plan, or 1000 for enterprise plan. Custom events are averaged across your entire account, not just on a per-host basis. Beyond this limit, Datadog charges $2 for 100 000 custom events (billed annually or $3 on-demand), although it is rare for our customers to exceed the allotted volume.

How can I send custom metrics and events?

You can send Datadog custom metrics and events in three ways

The Datadog Agent ships with DogStatsD so you can submit custom metrics via the Agent's non-blocking API functions for many programming languages.
The Datadog Agent allows for the creation of custom integrations via plugins to the Agent. This plugin system allows the Agent to collect custom metrics on your behalf. Integrations which are contributed back to the Datadog Agent convert to standard metrics.
Datadog also has a full-featured API that you can send your metrics to—either directly over HTTP or with a language-specific library.

What compliance frameworks does DevSecOps support?

DevSecOps Pro and Enterprise allow you to track conformance to requirements of over 15 industry benchmarks including CIS, PCI DSS, SOC 2, and more.

How can I be sure my data is secure?

Security is our top priority. This includes, universal HTTPS, strong TLS configuration, and HTTP Strict Transport Security. Our Agent is open-source, which means it can be reviewed to ensure it meets your security requirements.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partners page for more.

How do you define an IoT device?

An IoT device is a nonstandard compute device deployed outside of an on-premise or cloud data center which transmits data over a network. Examples of IoT devices include the Raspberry Pi and NVIDIA Jetson. You can monitor IoT devices in Datadog with the Datadog IoT Agent.

Can I buy the DevSecOps SKU for some of my hosts and standalone Infrastructure or Cloud Security SKUs for the remainder?

You cannot purchase any DevSecOps SKU for a subset of your infrastructure, it covers all existing hosts and containers. You also cannot combine the DevSecOps SKU with standalone Infrastructure or Cloud Security SKUs.

Application Performance Monitoring

Improve the performance of your cloud-scale
applications end to end, down to a single line of code

APM

Starting At

^$ 31

Per host,
per month*

Resolve issues faster with end-to-end distributed traces and service health metrics

Automatic service discovery and dependency mapping (Universal Service Monitoring)
15-minute live trace search & analytics
15-day historical search & analytics
RED metrics based on 100% of traffic with 15-month retention
Correlate traces with metrics, logs, processes, network data, and more

*Billed annually or $36 on-demand

APM Pro

Starting At

^$ 35

Per host,
per month*

Track and improve the performance of your streaming data pipelines end to end

Everything included in APM, plus Data Streams Monitoring:

Automatic dependency mapping of all queues, consumers, and producers
End-to-end pipeline latency and consumer lag metrics
Faulty queue detection

*Billed annually or $42 on-demand

APM Enterprise

Starting At

^$ 40

Per host,
per month*

Optimize code performance in production with minimal overhead

Everything included in APM Pro, plus Continuous Profiler:

Code-level tracing including wall, lock, CPU, and I/O time
CPU and memory code profiles for resource and cost optimization
Code performance comparisons across versions
Actionable insights with automatic code analysis

*Billed annually or $48 on-demand

Features

APM

APM Pro

APM Enterprise

Features

End-to-end distributed tracing for any app at any scale

Service dependency visualizations

Deployment Tracking - performance metrics and version comparisons for every deploy

Software Catalog - service ownership management alongside real-time observability data

Universal Service Monitoring - automatically discover, map, and catalog services and dependencies

Retain spans using tag-based filters and generate custom metrics from any span via the UI

AI-based anomaly, outlier, and root cause detection

Dynamic Instrumentation—Add logs, spans, and metrics without interrupting runtime

End-to-end visibility between queues and application services

Detect bottlenecks and message-backed queues

Measure consumer lag in asynchronous applications

Attribute unexpected throughput to adjacent services and teams

Correlate delayed messages with related traces and logs

Low overhead code profiling in production

Method timings for every request (incl. time spent on locks, I/O, and more)

CPU and memory consumption for every service and code line

Code performance comparisons after deployments (e.g. CPU, memory allocations, lock wait time)

Automatic code analysis and actionable insights

Allotments

Span Ingestion: 150 GB per APM host per month or 0.205 GB per APM host per hour, averaged across all your APM hosts

Span Retention: 1 million Indexed Spans per APM host per month or 1370 Indexed Spans per APM host per hour, averaged across all your APM hosts

Error Tracking

Data Streams Monitoring

Profiled Hosts

4 containers per profiled host, averaged across all your profiled hosts; then $2 per container

Add-ons

AWS Fargate

$2 per task ($2.90 on-demand)

$2 per task ($2.90 on-demand)

10GB span ingestion and 65,000 span retention, averaged across all your APM hosts

$2.60 per task ($3.70 on-demand)

10GB span ingestion and 65,000 span retention, averaged across all your APM hosts, 1 profiled host

When combined with other products

Full stack visibility

Pivot to related infrastructure metrics, logs, processes, network data, synthetic tests, and RUM sessions

Cross-product dashboards and alerts

Service and support

Technical support across chat and email

Community Forum and Online Docs

Plans with the right level of support for your organization

Data Streams Monitoring is also available standalone starting at $15 per host
and Continuous Profiler is available standalone starting at $19 per host.
For more details, or reach out to your Sales or Customer Success rep.

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What counts as a billable APM host?

A billable APM host is a host that is actively generating traces that are submitted to the Datadog SaaS application, including, but not limited to, an OpenTelemetry Collector. This means that hosts running services that are not instrumented (e.g. databases, caches, queues and load-balancers) and are not generating traces submitted to the Datadog platform do not count as APM hosts even if APM is enabled on them.

What kind of billing plan do I need to run APM, APM Pro, or APM Enterprise?

Every billable APM, APM Pro, or APM Enterprise host requires the purchase of Pro or Enterprise Infrastructure Monitoring.

Is Pro or Enterprise Infrastructure Monitoring required on every APM Host?

Yes. For example, if you subscribe for 10 APM hosts, those hosts must also be subscribed for 10 Pro or Enterprise Infrastructure hosts. This applies to both committed and non-committed host usage in all APM tiers.

I am an existing APM customer. Can I switch to the APM Pro or APM Enterprise?

Yes. Existing APM customers have the option of changing their plan to APM Pro or APM Enterprise. Contact your Sales or Customer Success rep for help.

Can I purchase a mix of APM, APM Pro, and APM Enterprise hosts?

No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof.

Does a purchase of APM host include Universal Service Monitoring (USM) on that same host?

Yes. USM is included on the same host APM is purchased on, regardless of the APM tier. This means that Datadog will always discover, map, and monitor every new and/or non-instrumented service running on your APM hosts, automatically.

If I’m an existing USM customer and start using APM on the same host, will I be charged for both products?

No. If both USM and APM are purchased and/or installed on the same host, you will only pay the APM price on the host, based on your APM tier.

What languages does APM support?

Java, Python, Ruby, Go, Node, .NET and PHP. You can find the full list of supported languages and libraries in our documentation.

Can I add custom instrumentation on top of Datadog’s out-of-the-box instrumentation?

Yes. We provide auto-instrumentation for popular libraries and frameworks, but you can easily add custom instrumentation if desired.

Can I run APM with containers?

Yes, you can run APM in a containerized environment. The number of containers running on each host (node) does not impact the APM host-based price. AWS Fargate is also supported.

Does APM support Serverless computing?

Yes. We support AWS Fargate tasks. Based on your APM plan, the price is $2/$2/$2.60 per task when billed annually and $2.90/$2.90/$3.70 when billed on-demand. APM also supports AWS Lambda (see pricing info here).

What is the difference between ingestion and retention?

Ingestion means sending your traces to Datadog and having all of them available for Live Search and Analytics for 15 minutes. Retention means storing your most important traces (e.g. error, high latency, or business-critical ones) and making them available for search and analysis during a retention period of your choice (15 days by default).

Can I ingest additional spans?

Yes. While we include 150GB per APM host by default for Ingested Spans, you can always ingest additional traces and spans for 15-minute live trace search and analytics at $0.10/GB.

Note: The allotted 150GB per host is summed over all the APM hosts. For example, if in a given month you have 2 APM hosts and one ingests 250GBs and the other 50GBs (300GB in total), you will not be billed for ingestion that month.

Can I retain (index) additional spans and modify the retention period?

Yes. While we include 1 million Indexed Spans per APM host with 15-day retention by default, you can always retain additional spans.

For additional Indexed Spans, we offer the following retention periods:

7-day retention at $1.27 per million spans per month (billed annually or $1.91 on-demand)
15-day retention at $1.70 per million spans per month (billed annually or $2.55 on-demand)
30-day retention at $2.50 per million spans per month (billed annually or or $3.75 on-demand)

If you need longer retention, please reach out to your Customer Success or Sales rep to customize your plan.

Note 1: The allotted 1 million Indexed Spans per host is summed across all your APM hosts. For example, if in a given month you have 2 APM hosts and you index 1.5 million spans from one and 0.5 million from the other (2 million in total), you will not be billed for indexing that month.

Note 2: Indexed Spans that are auto-retained by Datadog do not count towards the 1 million Indexed Spans that are allotted per host.

How does on-demand billing of ingested and indexed spans differ from my committed plan?

On-demand use of APM is counted on an hourly basis. Both ingested and indexed span allotment are metered each hour and are not aggregated across all use throughout the month.

This means that ingested and indexed span use that goes over the associated APM Host allotment in the same hour will increase billing regardless of span use during other times.

What are the hourly span allotments and on-demand pricing?

For every host hour, customers get an hourly allotment corresponding to a share of the monthly allotment (150 GB for ingested spans and 1M indexed) split evenly by hour by month in the current year. For example, in January, for every host hour, customers get an allotment of 0.205 GB (150 GB / (365 * 24 / 12)) for ingested spans and 1369 indexed spans (1 M / (365 * 24 / 12)).

For additional volume, in a given hour, customers will be charged $0.10 per additional GB of ingested spans and the indexed spans rate for every additional 1M indexed spans.

Do I have to ingest and/or retain 100% of my traces?

No. Updates to trace ingestion and retention can be made directly in the UI giving customers full control over their data and costs. For additional information, view the Ingestion Controls and Trace Retention documentation.

Does trace sampling impact the accuracy of RED metrics?

No, the listed APM price includes RED metrics (requests, errors, duration). Regardless of any sampling rate (default or custom), RED metrics are always calculated based on 100% of application traffic.

How are span-based metrics billed?

Span-based metrics are counted towards your Custom Metrics allocation as outlined in your infrastructure plan.

Can I run APM on web apps with Azure App Services (PaaS)?

Yes, the Datadog extension for Azure App Services provides additional monitoring capabilities for Azure Web Apps, including full support for distributed tracing using automatic instrumentation, manual APM instrumentation to customize spans, Trace_ID injection into application logs, and submitting custom metrics using DogStatsD. Learn more with our documentation.

What is considered as a host for Azure App Services?

All Azure App Service Plan instances will count as Infrastructure hosts. In addition, if they are running the Datadog extension and submitting APM traces from a Web App, all instances in the underlying ASP will be counted as APM hosts.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

What is Data Streams Monitoring and how does it work?: Datadog Data Streams Monitoring (DSM) allows you to track and improve the performance of event-driven applications that use Kafka and RabbitMQ. DSM automatically maps dependencies between all services and queues, measures latency between them, and provides additional health metrics, such as consumer lag, across your streaming data pipeline to help you monitor it end to end.
What counts as a billable DSM host?: A billable Data Streams Monitoring host is a host that has the Datadog Agent installed and producer and consumer services that are running on it and instrumented for DSM. Visit our documentation for additional setup information.
What kind of billing plan do I need to run Data Streams Monitoring?: Every billable DSM host requires the purchase of Pro or Enterprise Infrastructure Monitoring, regardless if it is combined with APM. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.
Can I purchase Data Streams Monitoring not as part of an APM plan?: Yes, Data Streams Monitoring can be purchased on top of Pro or Enterprise Infrastructure Monitoring hosts starting at $15 per host per month with an annual commitment.
Can I purchase APM Pro for a portion of my hosts and individual standalone products for the rest of my hosts?: No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof. That said, APM-only customers can purchase Data Streams Monitoring and/or Continuous Profiler on a portion of their hosts, and APM Pro customers can purchase Continuous Profiler on a portion of their hosts.
What Technologies do you support?: DSM currently supports Java, Go, .NET/C# for Kafka and Java and Go for RabbitMQ. Support for additional technologies and programming languages is coming soon.
How long is DSM data retained for?: Map history is stored for 30 days and all metrics are retained for 15 months.

What is Continuous Profiler?: Continuous Profiler is a tool to observe and analyze code-level performance in your production environment at all times with minimal overhead. It allows developers to identify and optimize the most resource-consuming methods in their code. We provide comprehensive documentation and encourage you to take a read.
What counts as a billable Continuous Profiler host?: A billable Continuous Profiler host is a host that has profiling installed and enabled according to Datadog’s runtime-specific setup instructions (example) and submits profiles to the Datadog SaaS application.
What kind of billing plan do I need to run APM Enterprise?: Every billable Continuous Profiler host requires the purchase of Pro or Enterprise Infrastructure Monitoring, regardless if it is combined with APM. The price includes 4 containers running profiled applications per host, summed across all Profiled hosts. Every additional container costs $2. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.
I am an existing Continuous Profiler customer. Can I switch to the APM Enterprise plan?: Yes. Existing Continuous Profiler customers have the option of changing their plan to APM Enterprise starting at $40 per host per month. Contact your Sales or Customer Success rep for help.'
Can I purchase Continuous Profiler standalone?: Yes, Continuous Profiler can be purchased standalone at $19 per profiled host per month with an annual commitment. Month-to-month and on-demand plans are also available at $23 per profiled host per month or $0.004 per hour. Contact us or reach out to your Sales or Customer Success rep for more details.
Can I purchase APM Enterprise for a portion of my hosts and individual standalone products for the rest of my hosts?: No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof. That said, APM-only customers can purchase Continuous Profiler and/or Data Streams Monitoring on a portion of their hosts, and APM Pro customers can purchase Continuous Profiler on a portion of their hosts.
How do you define a profiled host?: A profiled host is a physical or virtual operating system instance which is running a profiled application. To be profiled, the host would need to have the agent installed and profiling enabled. When combined with APM, every APM host is also a profiler host, and vice versa. The same logic applies to profiled containers. For more information visit our Billing FAQ.
Which languages does Continuous Profiler support?: Continuous Profiler supports Java, .NET, Go, Python, Ruby, .Node.js, and PHP. Support for C, C++, and Rust is in beta.
How does Datadog Continuous Profiler work?: Our profilers constantly collect representative samples of all stack traces, aggregate them over a 60-second time period and forwards them through the Datadog agent. This is done continuously in one-minute intervals which means you will never lose code-level visibility in your services. To profile your services, simply import our profiling library or enable an environment variable flag when you run the APM tracer.
How do you ensure minimal performance impact in production?: We use the latest, most cutting-edge technologies, such as the JDK Flight Recorder, to ensure that performance impact is minimal even with full production workloads. Additionally, our profilers do not interrupt or interfere with any of your service requests hence we introduce no additional request latency.
How is profiling different from tracing?: Tracing measures latency of requests across services in distributed systems, whereas profiling provides deeper insights on all that happened on the code level of the services.
What are the benefits of Datadog Continuous Profiler?: Continuous Profiler is tightly integrated with the rest of the Datadog platform and it extends our seamless correlations between metrics, traces, and logs to the code level. This is extremely useful for code performance optimization, cost savings on cloud provider bills, and reducing request latency for improved user experience.
What types of profiles are available?: CPU, Memory, Lock, Wall Time, Disk IO, Socket IO, Goroutines, Exceptions and many more profile types are available and may vary by programming language. For more information visit our documentation page.
Are there other billing options?: Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Log Management

Analyze and explore log data in context with flexible retention

Ingest

Starting At

^$ 0.10

Per ingested or scanned GB,
per month* **

Ingest, process, enrich, live tail, and archive all your logs

Out-of-the-box parsing for 200+ log sources
Enrich and tag your logs for RBAC, cost control and usage allocation
Generate log-based metrics for long term analysis
Self-hosted archives, with the option to ad-hoc rehydrate back to Datadog
Dynamic routing to desired retention tier options

*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating.
**Billed annually or $0.10 on-demand

Standard Indexing

15-day retention

^$ 1.70

Per million log events,
per month*

For real-time exploration, alerting, and dashboards with mission-critical logs

Prioritize logs for critical investigations
Build log alerts with Log Monitors
Detect log anomalies proactively with Watchdog Insights
Best suited for frequently accessed logs i.e. infrastructure, application, operational logs

*Billed annually or $2.55 on-demand

Ingest

Starting At

^$ 0.10

Per ingested or scanned GB,
per month* **

Ingest, process, enrich, live tail, and archive all your logs

Out-of-the-box parsing for 200+ log sources
Enrich and tag your logs for RBAC, cost control and usage allocation
Generate log-based metrics for long term analysis
Self-hosted archives, with the option to ad-hoc rehydrate back to Datadog
Dynamic routing to desired retention tier options

*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating.
**Billed annually or $0.10 on-demand

Flex Storage

Starting At

^$ 0.05

Per million events stored,
per month* **

For historical investigations or security, audit, and compliance use cases

Flexible long-term retention up to 15 months without the need to rehydrate
Increased ROI on high-volume logs
Correlate with metrics and traces for deeper analysis
Best suited for infrequently accessed logs

*Minimum retention of 1 month up to 15 months
**Billed annually or $0.075 on-demand

Flex Compute

Extra Small

^$ 0.05

Per instance-hour,
per month*

Multiple preconfigured compute options to suit your search and analytics workloads

Easily search for logs stored in both Standard and Flex Tier
Datadog-managed compute infrastructure
Scale up or down based on your query use cases
Customize compute choices based on business priority and environment i.e. staging, production

Flex Logs Starter

Starting At

^$ 0.60

Per million events stored,
per month* **

For historical investigations and long-term retention

Retention options of 6 months, 12 months, and 15 months
Bundled Starter Compute for log volumes below 2B per month (10B total stored)
Easily search for logs stored in both Standard and Flex Tier without the need to rehydrate
Best suited for infrequently accessed logs that need to be retained for longer periods

*Minimum retention of 6 months, options for 12 and 15 months
**Billed annually or $0.90 on-demand

Multi-Year/Volume discounts available (3B+ events/mo)

Log Forwarding to Custom Destinations

Starting At

^$ 0.25

Per GB outbound,
per destination, per month*

Centralize your log processing, enrichment and routing to multiple destinations

Forward your logs in real-time to any destination in just a few clicks
Collect, transform, and route logs to multiple destinations without the need to index
Low-latency, cloud scale throughput
RBAC-enabled

*Per GB of uncompressed data forwarded per destination

Features

Unlimited Sources
Faceted & Full-text Search
900+ vendor-backed integrations
Custom Processing & Parsers
Log Analytics and Dashboarding
Log Anomaly Detection
Supports PCI and HIPAA compliance
Fully integrated with Datadog role-based access control (RBAC)

Enterprise-Grade Security
Unlimited User Accounts
Real-time Alerting
Logging without Limits™
Log-based custom metrics
Archive to AWS S3, Azure Blob Storage,
and Google Cloud Storage
Log Rehydration™ from AWS S3, Azure Blob Storage, and Google Cloud Storage

When Combined with Other Plans

Automated Infrastructure Tags
Pivot seamlessly to Infrastructure and APM

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

Definitions

How do you define retention?

The retention period is the number of days your logs are searchable and analyzable. After this period, logs disappear from your index(es).

Logs removed from your index(es) do not have to be gone forever! Check out our Log Archives for long-term storage options.

I know my consumption in GB/day: how do I convert it into millions of log events?

Log events come in all shapes and sizes, which is precisely why we offer event-based pricing! We want to encourage rich logs to provide the most value.

The best way to get the number of log events during your Datadog trial is to run a count query over the last 24 hours and multiply by 30 days to estimate for the month. This can, of course, also be done in your current log management solution, if you have one.

What do the different compute sizes in Flex Logs mean? Which one is appropriate for me?

Compute is the querying capacity to run queries for Flex Logs. The compute size appropriate for you depends on the volume of data stored in the Flex Tier, the time window and complexity of your queries, and concurrency. For guidance on which compute size you should choose, see our documentation.

Supported Today

Having all your infrastructure, APM, and log data under one roof is something we definitely encourage, but you can also subscribe only to Datadog’s Log Management. Learn how to configure only log collection here.

What retentions are available for on-demand customers?

For on-demand customers, the default retention is 15 days. If you have already created a Datadog account and would like to use a different retention, you can request a different retention at support@datadoghq.com

Do I have to choose only one type of retention between Standard Indexing and Flex Logs?

Your indexes can have Standard Tier retention only, Flex Tier retention only, or a combination of Standard and Flex Tier.

What is the difference between Standard Indexing and Flex Logs?

Flex Logs does not support monitors or Watchdog Insights. Standard Indexing supports everything.

What happens if I send an unexpectedly high volume of logs?

By committing to a monthly volume of logs, you aren’t rate-limited based on a single day’s volume. Send as much as you need on any given day without losing visibility. Assuming your average is lower on other days, your bill is unaffected.

In those cases where you have a big month, not to worry! You maintain complete visibility and pay for additional services (+50% of the annual price) only on the volume that exceeds your commitment.

Can I forward logs from one Datadog account to another?

This is currently not supported.

Best Practices

How can I manage my highly dynamic log volume in a cost-effective way without losing visibility?

We’ve designed our Log Management offer knowing from day 1 that managing large and fluctuating log volumes is a common problem. We have various innovative solutions for this, which you can learn more about from our dedicated article here.

When should I store logs in Standard Indexing vs Flex Logs?

Log events can be stored in Standard Indexing when you need them for real-time troubleshooting and in Flex Logs for ad-hoc, historical analysis and long term troubleshooting. See our documentation to learn more.

Billing

How are Flex Logs billed?

Flex Logs are metered on an hourly basis per million events stored. Each million events stored is billed for a minimum of 30 days, or a minimum of $0.05. For example, if one million logs are retained for 60 days, this will be charged for every 30 days that they are stored.

Is forwarding to S3 Archives, GCP Storage, and Azure Storage being billed?

No. Forwarding to S3 Archives, GCP Storage, and Azure Storage is included with $0.10 per ingested GB. However, forwarding to other destinations such as your external SIEM or BI vendor is billable starting at $0.25 per GB outbound per destination.

How is Rehydration billed?

When you rehydrate logs, Datadog scans the compressed logs in your archive for the time period you requested, and then indexes only log events that match your rehydration query. Datadog charges $0.10 per compressed GB of log data that is scanned. For any log events indexed from a rehydration, the cost is equal to your contracted indexing rates for the retention period selected for the rehydration.

How are log-based metrics billed?

Log-based metrics count towards your Custom Metrics allocation as outlined in your infrastructure plan.

Are there other billing options?

Annual and monthly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Security and Compliance

How can I be sure my data is secure?

Security is our top priority. This includes, TCP/SSL Strict Transport Security, agent-level scrubbing and SOC 2 compliance. Our Agent is open-source, which means it can be reviewed to ensure it meets your security requirements.

Bits AI

Automate alert investigations with agentic AI

Get in touch

Custom Quote

Resolve alerts automatically with Bits AI handling initial response to root cause analysis with full observability context

Multi-Year/Volume discounts available

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

LLM Observability

Monitor, Improve, Evaluate, and Secure Your LLM Applications

Starting At

^$ 8

Per 10K monitored LLM requests*,
per month** ***

Troubleshoot your LLM applications with end-to-end tracing
Improve performance and reduce cost when running LLM applications
Evaluate LLM applications for quality
Assess LLM applications for privacy and security

*Billed annually or $12 on-demand
**Minimum of 100K LLM requests per month

Multi-Year/Volume discounts available

Features

Pinpoint root causes of errors in the LLM chain
Analyze inputs and outputs at each step of the LLM chain
Assess accuracy and identify errors in embedding and retrieval steps
Monitor key operational metrics for LLM applications, including cost and latency trends
Uncover opportunities for performance and cost optimization

Maintain optimal performance of LLM applications with real-time alerts
Detect quality issues with out-of-the-box quality evaluations
Tune-up LLMs by uncovering drifts in production
Prevent leaks of sensitive data with built-in security and privacy scanners
Safeguard your LLM applications from response manipulation attacks

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is LLM Observability and how does it work?

Datadog LLM Observability allows you to monitor, troubleshoot, evaluate, and secure your LLM applications. It provides end-to-end visibility into LLM chains with detailed tracing of each step, helping AI application developers and ML engineers confidently deploy and scale LLM applications in production environments.

How can I get started?

You need to instrument your LLM application with an SDK for Python and Node or submit spans via an API if your application is written in a different language. If you are using orchestration frameworks like LangChain and popular LLM providers like ChatGPT, the SDK will automatically capture traces. You can view the full list of auto-instrumentation here.

How do you define LLM requests monitored?

When using Datadog LLM Observability, each call to an LLM provider (like OpenAI or Anthropic) is captured as an individual LLM span. To generate an output, your application might trigger multiple LLM calls, and all these calls are tracked as separate spans within the same trace.

Do I need to purchase other Datadog products to use LLM Observability?

No, you can use LLM Observability without purchasing any other Datadog products. Having all your monitoring and security alerts and insights in one place is something we encourage for comprehensive visibility.

Is SDS part of LLM Observability?

Yes, LLM Observability scans, identifies, and redacts sensitive information that may be present in your LLM application by leveraging Sensitive Data Scanner, helping prevent data leakage. This capability is powered by Sensitive Data Scanner’s Library Rules, which includes personal information, financial data, health records, or any other data that requires protection due to privacy or security concerns.

Do I pay for SDS separately?

You do not have to purchase SDS separately for LLM Observability. For every 10K LLM requests, you have an allotment of 1 GB of Sensitive Data Scanner.

How long is LLM Observability data retained for?

Traces are retained for 15 days by default, while metrics are retained for 15 months.

Workload Protection

Runtime Security Posture, File Integrity Monitoring, Threat Detection, and Malware Protection for all your workloads

Starting At

^$ 15

Per host,
per month*

Deep file & process activity monitoring
Performant, in-kernel, eBPF-powered analysis
Network anomaly detection
4 containers allotted per host license**

*Billed annually or $18 on-demand
**Additional containers billed at $0.002 / hr per container

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What kind of billing plan do I need to run Workload Protection?

Workload Protection can be purchased in addition to Infrastructure Monitoring, and is already included if CSM Enterprise is purchased.

What counts as a billable host?

How do I monitor containers and Kubernetes workloads?

In containerized environments, the Datadog agent runs in a container alongside any number of other containers on a host. From there it monitors system activity for all running containers and for the host itself. Depending on your plan, you can monitor 4 containers free for each host license. Additional containers will be billed at $0.002 per container per hour. In addition, you can purchase prepaid containers at $1 per container per month.

What environments does Workload Protection support?

We support most major Linux distributions, Windows Servers, and container runtimes including Docker and Kubernetes to provide unparalleled visibility into your workloads.

CI Pipeline Visibility

Monitor the health and performance of your CI pipelines

Starting At

^$ 8

Per committer,
per month*

View data from multiple CI providers in a single place
Visualize performance across pipelines, stages, and jobs
Surface recurring errors and the commits that caused them

*Billed annually or $12 on-demand

Features

Diagnose the health & performance of your pipelines
Make data-driven decisions to optimize your CI/CD
Pipeline Visibility is currently compatible with GitLab, GitHub Actions, Jenkins, CircleCI, Buildkite, Codefresh, TeamCity, Azure DevOps, and AWS CodePipeline. Other providers and custom pipelines can be integrated via API. Out-of-the-box support for more CI providers is coming soon.

Powerful out-of-the-box dashboards & integrations
Alert relevant teams about pipeline health and performance

When Combined with Other Plans

Auto-instrument pipelines and tests to seamlessly pivot to related logs and errors

Service and Support

Technical support via Chat and Email, Community Forum, and Online Docs
Learn more about our additional support plans

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define a committer?

A committer means an active Git committer; they are identified through their Git author email address. A committer is counted towards billing if they commit at least 3 times in a given month.

How do you define a committer in a pipeline not linked in a Git repository?

In the event that a pipeline is not associated to a git repository, or git metadata is unavailable, the username of the person triggering the pipeline execution will be used as the billable committer.

Can I purchase more than one software delivery plan for my team?

Yes, customers can purchase a combination of software delivery plans. For example, for a team of 10, you can have 8 committers billed for Pipeline Visibility and 5 committers billed for Test Optimization.

How do you define a span?

Every pipeline, pipeline stage and pipeline job is considered a span in Pipeline Visibility.

How many spans are allotted?

400,000 spans per committer per month or 547.95 spans per committer per hour (both summed across all Pipeline Visibility committers). Additional pipeline spans can be purchased at $3 per million spans per month.

What is the span retention period?

Pipeline spans are retained for 15 months.

Can I modify the span retention period?

No, the span retention period cannot be modified.

What CI providers does CI Visibility support?

Pipeline Visibility is currently compatible with GitLab, GitHub Actions, Jenkins, CircleCI, Buildkite, Codefresh, TeamCity, Azure DevOps, and AWS CodePipeline. Support for more CI providers is coming soon.

Continuous Testing

Fast, codeless, and reliable testing that helps you ship features with confidence

API Testing

Starting At

^$ 5

Per 10K test runs, per month*

Test API endpoints and workflows

Easily configure and run single or multistep API tests
Globally managed locations

*Billed annually or $7.20 on-demand

Browser Testing

Starting At

^$ 12

Per thousand test runs,
per month*

Provide the best end-user experiences

Record tests without code
Intelligent, self-healing tests
Step-by-step screenshots and error reporting
Globally managed locations

*Billed annually or $18 on-demand

Mobile App Testing

Starting At

^$ 50

Per hundred test runs,
per month*

Proactively monitor your key business flows using real devices

Record tests without code
Run tests on real Android and iOS devices
Intelligent, self-maintaining tasks
View screenshots and front-end errors for every step

*Billed annually or $72 on-demand

Continuous Testing (add-on)

Starting At

^$ 79

Per additional parallelization,
per month*

Increase the speed of your test runs in the CI

Run multiple tests at the same time across your test environments to expedite release cycles and reduce test durations
Analyze tests across your pipelines in the Synthetic Monitoring & Continuous Testing Explorer and search using facets on test durations, commit author, pipeline, and more

*Billed annually or $114 on-demand

Multi-Year/Volume discounts available

Features

When Combined with Other Plans

Full stack visibility with APM integration
Pivot to related metrics, traces, and logs

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is Continuous Testing?

Datadog Continuous Testing is a comprehensive toolkit in the development cycle that offers integration and end-to-end testing with codeless test setup, self-healing capability, and seamless integration with CI providers (GitHub Actions, Azure DevOps, CircleCI, GitLab, and Jenkins) and collaboration tools to help you ship high-quality features to your users quickly.

Running tests in your CI/CD pipelines today is included with your API and Browser Testing test runs, and tests will run sequentially (one after another). If you would like to increase the speed of testing in your CI/CD pipelines, you can purchase additional Parallel Testing speed (parallelization), which makes some tests run at the same time.

For example, 1 Parallel Testing additional speed offers an additional parallel slot, allowing you to run 2 tests in parallel; 2 Parallel Testing additional speed offers 2 additional parallel slots, allowing you to run 3 tests in parallel; and so on. This helps you run more tests in parallel (at the same time), and reduce the overall execution speed of your test suite.

Am I limited to a certain number of test runs based on my additional parallelization?

No. With Parallel Testing, you can run as many tests as you need in your CI/CD pipelines. Parallelization ensures you can run more of those tests at the same time, and ultimately reduce the duration of testing in your CI/CD pipelines.

For example, if you want to run 100 tests in a CI pipeline and each test takes 10 seconds to run:

WITHOUT parallelization, your tests will run sequentially and your pipeline will take roughly 17 minutes to complete.
WITH parallelization, if you purchase (for example) an additional speed of 4 Parallel Testing, your 100 tests will run over a total of 5 parallel slots, and your pipeline will now take roughly 3 minutes to complete.

Note: In both cases, your 100 test runs will contribute to your API or Browser Testing test run quotas.

Can I reuse my Synthetic tests that I use to monitor my production environments?

Yes. With Parallel Testing, you can use the same Synthetic tests you have configured for production monitoring across all of your staging, QA, and pre-production environments. Through variable overrides and custom configuration values, you can benefit from one test throughout your entire software development lifecycle.

What are parallel tests?

Parallel tests are tests that run simultaneously in your continuous integration and delivery pipelines to ensure that you can:

Reduce pipeline duration and ship new features faster
Increase development confidence and speed of delivery
Have complete test coverage and reduce the volume of production-breaking bugs from reaching your codebase

As an example, if you needed to run 60 tests and each test took one minute to run, it would take you one hour to run those tests sequentially. However, running those tests in parallel with a parallelization value of 60, you could run all your tests at the same time and within one minute, saving you 59 minutes to tackle other business-critical tasks. That's the power of Parallel Testing.

Can I see the full trace of a test if I also use Datadog APM?

Yes! If you instrument your services with APM, you will have a complete 360-degree visibility into your applications and services—from your frontend user experience right through to your backend trace. Find more information here.

What counts as a browser test run?

Each simulation of a web transaction (up to 25 steps) counts as a single browser test run. A single test containing 50 steps would count as two test runs on each execution. For example, running a 60-step test (three test runs) every 15 minutes from five different locations and two different devices equates to 120 test runs in one hour.

How do subtests count toward billing?

Subtests are simply a set of steps within a browser test. Therefore, we count a subtest as part of the overall browser test execution. For example, if you set up a browser test with only three subtests and each subtest had five steps, that would amount to a total of 15 steps, or one browser test run.

Test Optimization

Monitor, debug, and accelerate every test suite across your entire CI environment

Starting At

^$ 20

Per committer,
per month*

Detect tests that fail or slow down your CI pipelines
Catch and prevent flaky tests from being merged
Lower CI costs through improved testing efficiency
Improve testing quality and developer productivity

*Billed annually or $29 on-demand

Features

Automatic detection of flaky tests and performance regressions
Flaky test full lifecycle management

Test Impact Analysis that skips tests irrelevant to a code change
Granular visibility into test performance with distributed tracing and stack traces

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define a committer?

A committer means an active Git committer; they are identified through their Git author email address. A committer is counted towards billing if they commit at least 3 times in a given month.

Can I purchase more than one software delivery plan for my team?

Yes, customers can purchase a combination of software delivery plans. For example, for a team of 10, you can have 10 committers billed for CI Visibility and 5 committers billed for Test Optimization.

How do you define a span?

Every individual test run is considered a span in Test Optimization.

How many spans are allotted?

1,000,000 spans per committer per month or 1,370 spans per committer per hour (both summed across all Test Optimization committers). Additional test spans can be purchased at $3 per million spans per month.

What is the span retention period?

Test spans are retained for 3 months.

Can I modify the span retention period?

No, the span retention period cannot be modified.

What CI providers does Test Optimization support?

Test Optimization is compatible with any CI provider(not limited to those supported by CI Visibility).

What languages does Test Optimization support for tests?

Test Optimization directly supports .NET, Java, JavaScript, Python, Swift, and Ruby. Other languages and test frameworks are supported by using JUnit xml.

How does Test Impact Analysis identify which tests to skip?

Datadog automatically collects which files are covered by any given test. Based on the files that have been modified in any given code commit, we skip all irrelevant tests. Learn more.

App Builder

Custom apps that integrate in your monitoring stack to accelerate remediation tasks and reduce errors

Starting At

^$ 35

per published app
per month*

Build apps using a low code drag-and-drop interface with blueprints and over 1,750+ out-of-the box actions to handle complex tasks and take action without having to leave Datadog

*Billed annually or $51 on-demand

Multi-Year/Volume discounts available

Features

Quickly build production ready internal ops tools without front end code knowledge
Drag and drop 20+ UI components and customize your logic using custom JavaScript code.
Integrate with a catalog of 1,750+ out-of-the-box action integration. Maintain the flexibility to interact with any rest API using HTTP requests. Ability to communicate with both cloud and on-prem resources
Get value instantly with a library of pre-configured blueprints solving common use cases in DevOps, security, software delivery, project management and more
Consolidate all your company’s monitoring data, tool development, and observability response in one place

Empower teams with self-serve apps so they can proactively take action before issues arise
Save time with minimized context switching by troubleshooting all within the same interface
Embed apps into your existing monitoring stack as widgets to Datadog Dashboards
Configure viewing and editing permissions of apps with granular role-based access control (RBAC)
Gain visibility into every app with audit logging and usage tracking

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

Can I use the product before I commit to it?

Yes, App Builder is already available in your account and it is free to start using. App Builder becomes paid once you publish an app.

What is a published app?

When you create a new app it is “unpublished” even after you save it. Once you are ready to distribute your app to your teams or embed it in Datadog (e.g. Dashboards) you will need to publish it. Once your app is in a “published” status, it will become paid.

Can I unpublish an app?

Yes, you can easily unpublish an app at any time. Once your app is unpublished it will no longer be paid.

Do I need to purchase other Datadog products to use App Builder?

No, you can use App Builder without purchasing any other Datadog products. Having all your monitoring and security alerts and insights in one place is something we encourage for comprehensive visibility.

I am an existing Infrastructure Monitoring customer. Can I add App Builder to my plan?

Yes, you can add App Builder to your existing plan and it will show up on your plan as a different SKU. Reach out to your Customer Success Manager for further details.

Incident Response

Manage alerts and incidents alongside rich, contextual observability data

On-Call

Standalone

Starting At

^$ 20

Per seat,
per month*

Modern on-call management

Unlimited on-call schedules, escalations, and routing rules
Pages via SMS, voice call, mobile push notification, or email
Analytics for service health and team performance

*Billed annually or $29 on-demand

Incident Management

Standalone

Starting At

^$ 30

Per seat,
per month*

Seamless incident coordination

Automated incident timelines
Integrations with Slack, Jira, and more
One-click AI-generated postmortems

*Billed annually or $43.20 on-demand

Incident Response

Bundle

Starting At

^$ 40

Per seat,
per month*

End-to-end remediation

Includes all features in On-Call and Incident Management

*Billed annually or $58 on-demand

Features

On-Call Standalone

Incident Management Standalone

Incident Response Bundle

Features

On-call schedules

Escalation policies

Routing rules

Pages (SMS, Voice call, Mobile push notification, or E-Mail)

API & webhooks

Out-of-the-box on-call analytics

Chat integrations (Slack, Microsoft Teams)

Incident declaration (via pages, signals, dashboards, 3rd-party apps)

Incident timeline

Incident roles

Incident tasks

Single-click Postmortems

Out-of-the-box incident analytics

Bits AI for Slack

Conference integrations (Zoom, CoScreen)

Ticketing integrations (Jira Software, ServiceNow)

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is a seat?

A Seat represents any user who is actively part of the on-call workflow. Seats are assigned to users who meet any of the following criteria:

They are part of an on-call schedule.
They are included in an escalation policy.
They have configured notification preferences to receive pages.

Anyone can create incidents, view incidents, and join incident channels without a license. However, a seat is required to modify, or contribute (add comments, graphs or links on the timeline) to incidents.

In what countries do we support telephony features?

Our list of available countries is extensive and spans across the globe. We continue to grow in availability zones daily. If your country is not supported, you can still be paged through the Datadog Mobile App.

Are telephony costs included in pricing?

Yes, telephony costs are included in the current pricing structure.

What actions require a seat?

A seat is required to be an active responder in an incident. Anyone without a seat can view incidents and join incident channels without a license.

Do users get double charged if they are in more than one org?

No, we charge based on unique seats across the organizations where users have accounts.

Is there a limit on the number of pages, schedules, escalation policies, incidents, or postmortems that a user or org can create?

No, seat holders have access to create unlimited pages, schedules, escalation policies, incidents, and postmortems.

What external tools does Datadog Incident Response integrate with?

Native integrations are available for Slack, MS Teams, Jira, ServiceNow, Zoom, and Status Page. Check out our Docs for more information.

Can I use Datadog Incident Management without using other Datadog products?

Datadog Incident Management can be used as a standalone solution for your team, or as a central in-app hub to accelerate remediation and streamline existing workflows in Datadog.

Can I use Datadog Incident Response without using other Datadog products?

Datadog Incident Response can be used as a standalone solution for your team, or as a central in-app hub to accelerate remediation and streamline existing workflows in Datadog.

Event Management

Transform alert fatigue into actionable insights and accelerate remediation with automated event correlation

Starting At

^$ 0.10

Per event evaluated by a correlation pattern
(Datadog generated events are free)

Aggregate, and intelligently correlate alerts from Datadog and third-party tools to reduce alert fatigue, and reduce time discovery and resolution

*Billed annually or $0.14 on-demand

Features

Reduce alert fatigue and ticket volume with correlation and deduplication
Aggregate alerts and change events from anywhere into a case or 3rd party ITSM tool

Jump-start your triaging in the same view with more observability context from related metrics and logs data

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How is “evaluated by a correlation pattern” defined?

Once a correlation pattern is created, events will start matching based on the criteria defined. Note: it is not based on ingestion.

What are Datadog generated events?

Examples of events generated from Datadog include those from, Monitor Alerts, Error Tracking, Incidents, etc. Only 3rd party events ingested from either custom solutions or other tools will be charged for.

Do I need to purchase other Datadog products to use Event Management?

No, you can use Event Management without purchasing any other Datadog products. You have the option to ingest events from 3rd parties either via integration, email and API. Having all your monitoring and security alerts and insights in one place is something we encourage for comprehensive visibility.

I am an existing customer. Can I add Event Management to my plan?

Yes, you can add Event Management to your existing plan. Reach out to your Customer Success Manager for further details

Workflow Automation

Automate processes to go from monitoring to taking action

Starting At

^$ 10

Per 100 Workflow Executions,
per month*

Build and trigger automated workflows directly from your observability data
Get started fast with 40+ pre-built blueprints across DevOps and Security use cases
Stay in control of your automation with humans in the loop

*Billed annually or $14 on-demand

Multi-Year/Volume discounts available

Features

Automatically trigger workflows from monitors and security signals, and dashboards
Easy-to-use workflow builder with 300+ OOTB actions
40+ pre-built blueprints covering essential processes across security, DevOps, incident management and more
Build and customize complex workflows with multi-step automation using logic operators, branching, conditions, iterations and more

Enrich workflows with context from alerts and security signals
Bring humans into the loop with interactive workflows
Granular role-based access control (RBAC) for workflows
Keep track of executions with detailed workflow auditing

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How is an execution defined?

An execution refers to the start of a series of steps within the workflow. For instance, if a workflow is triggered five times, there will be five executions recorded.

Do I need to purchase other Datadog products to use Workflow Automation?

Having all your monitoring and security alerts and insights in one place is something we encourage for comprehensive visibility. You can use Workflow Automation without purchasing any other Datadog products. You have the option to manually trigger your workflows directly from the Workflow console or schedule them to run automatically.

I am an existing Infrastructure Monitoring customer. Can I add Workflow Automation to my plan?

Yes, you can add Workflow Automation to your existing plan. Your billing per host won’t be affected, you only be charged per execution of your workflows. Reach out to your Customer Success Manager for further details

What are Workflow execution limits?

Maximum execution time for a workflow: 24 hours
Maximum steps in a workflow: 100

Are there other billing options?

We can customize billing plans to meet your needs. For a detailed explanation of billing, please reach out to your Customer Success Manager

Error Tracking

Group and triage error events across web, mobile, and backend applications

50k errors

^$ 25

per month* **

Automatically group similar errors into issues representing bugs
Prioritize the most important issues based on count, recency, or impact
Resolve errors faster with custom monitors and one-click pivot into Git and IDEs
Investigate anomalistic tags surfaced by Watchdog Insights

*Error Tracking is included for APM traces and RUM events at no additional cost.
**Billed annually or $36 on-demand

Features

Prioritized list of all errors, automatically grouped into issues
Custom alerts on new issues
Default and custom tags for simple search and analytics
Watchdog Insights: Anomalistic tags associated with specific issues

Error distribution over time or by environment, version, URL, and other tags
Source code and IDE integrations
Ability to mute noisy issues or mark others as open, ignored, or resolved
Error triaging in Datadog Case Management and Incident Management

When Combined with Other Plans

Full-stack visibility
Seamless correlation with related sessions in RUM and distributed traces in APM

Service and Support

Technical support (chat and email)
Community forum and online docs

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How does Datadog Error Tracking work?

Error Tracking automatically groups uncaught exceptions found in certain error events (from APM traces, RUM sessions, standalone frontend errors, and logs) across frontend and backend applications into issues with rich debug context.

How is Error Tracking billed?

Error Tracking is billed according to your monthly volume of errors. Monthly error volumes below 50k errors will be billed at the flat rate of $25 per month or $36 on-demand. For monthly error volumes over 50k, the cost per 1,000 errors will be billed as follows:

Error Tracking pricing tiers	Annual cost per 1k errors, per month	Monthly cost per 1k errors, per month	On-Demand cost per 1k errors, per month
> 50k - 100k errors	$0.25	$0.30	$0.38
> 100k - 500k errors	$0.21	$0.25	$0.32
> 500k - 10M errors	$0.17	$0.20	$0.26
> 10M - 20M errors	$0.12	$0.14	$0.22
> 20M+ errors	$0.10	$0.12	$0.18

Which errors are indexed and billed for Error Tracking?

Standalone frontend errors collected outside of RUM sessions, standalone backend errors collected outside of APM traces, and errors originating from logs (with certain attributes) are billed for Error Tracking. To learn more about instrumenting Error Tracking and Error Tracking attributes view our documentation.

Can I filter errors eligible for Error Tracking?

Yes. You can use Error Tracking Rules to include and exclude certain errors that are ingested and billed by Error Tracking. We also offer rate limiting capabilities to safeguard against unexpected costs by allowing you to set a budget, ensuring your bill remains predictable and under control. You can also view a rolling 24-hour volume estimate in-app.

Which programming languages does Error Tracking support?

Browser Errors support JavaScript and TypeScript. Mobile Errors support Native iOS, Native Android, and React Native. Backend Errors support Java, NodeJS, .NET, Python, Ruby, Go, PHP, and C++.

I’m an existing Datadog APM and/or Real User Monitoring (RUM) customer. Do I need to pay for Error Tracking?

No. Error Tracking is included for errors collected as part of APM traces and RUM sessions at no additional cost. Error Tracking for Logs requires the Log Management product with indexing.

Is this available in all regions?

Yes. Error Tracking is available in all EU- and US-hosted accounts.

How can I start using Error Tracking?

Visit the Error Tracking documentation and start sending your backend or browser and mobile application errors to Error Tracking. Error Tracking can be enabled in-app.

Product Analytics

Deep visibility into product usage, user adoption, retention, and segmentation

Product Analytics

Starting At

^$ 0.80

Per 1,000 sessions,
per month on full traffic*

Turn user behavior into data-driven product decisions

Understand user behavior across the entire journey with funnels, segments, and pathway diagrams.
Boost adoption and revenue by identifying golden paths and key conversion drivers.
Track long-term trends with data retention starting at 15 months to assess the lasting impact of product changes.
Correlate user behavior with backend performance, mobile vitals, and frustration signals—all with a single SDK that simplifies setup and reduces engineering overhead.

*Billed annually or $1.20 on-demand

Session Replay

Starting At

^$ 2.50

Per 1,000 sessions,
per month*

Unlock behavioral insights to inform product decisions with video-like replays

Visualize the full user journey across web and mobile to identify drop-off points, optimize flows, and drive conversion.
Validate hypotheses quickly with 30-day session replay retention and built-in privacy protections like input masking by default.
Uncover UX opportunities by combining session replays with heatmaps to visualize engagement and behavior.
Collaborate with full context by linking replays to funnels, retention, and product metrics for faster, aligned decision-making.

*Billed annually or $3.60 on-demand

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What counts as a “session” in Product Analytics pricing?

Similar to Real User Monitoring, a session is a continuous period of user interaction on your website or app, typically grouped by user activity and timeout thresholds. A session is a user journey on your web application. It expires after 15 minutes of inactivity and lasts up to 4 hours. For a detailed explanation of user sessions, please see our docs.

Is Product Analytics available for both Browser and Mobile Applications?

Yes – Product Analytics is available for Browser and Mobile Applications.

Can I use Product Analytics without enabling Session Replay?

Yes—Product Analytics works independently, allowing you to analyze conversion, retention, and workflow metrics without recording visual replays. That said, pairing it with Session Replay gives you powerful visual context to see exactly why users drop off or struggle, making it easier to validate hypotheses and troubleshoot faster.

How long is my data retained?

Behavioral data in Product Analytics is retained for a minimum of 15 months, so you can analyze long-term adoption and validate the lasting impact of product changes over time. By default, Session Replays will be retained for 30 days.

Can I get more than 15 months retention?

Yes – please reach out to your dedicated Datadog account team for more information.

How is Product Analytics different from Real User Monitoring?

RUM focuses on frontend performance—like load times and errors—while Product Analytics measures user behavior, including conversions, drop-offs, and feature adoption. Both use the same SDKs, but Product Analytics includes 15-month retention for behavioral data. They can be used separately or together for a complete view.

Does purchasing Product Analytics increase the retention period for Session Replays compared to RUM alone?

No — Session Replays have a standard 30-day retention period whether accessed through RUM or Product Analytics. If you’re interested in extending your replay retention, please reach out to your Datadog account team to discuss available options.

Will I get double-billed on Session Replays if I purchase both RUM and Product Analytics?

No — Session Replays are only billed once, even if you’re using them across both RUM and Product Analytics.

Is Product Analytics available in all regions?

Product Analytics is available for all US-hosted and EU-hosted Datadog accounts. It is not yet supported on GovCloud, but we’re actively working toward future availability.

Real User Monitoring & Session Replay

Measure the end-to-end experience of web and mobile applications from your users’ perspective

RUM Measure

Starting At

^$ 0.15

Per 1,000 sessions,
per month* on full traffic

Monitor the availability and performance of your application across user sessions

Collect every session to gain complete insights into user experiences across your applications.
Monitor web and mobile app availability with 30+ out-of-the-box metrics—calculated on 100% of sessions for complete and accurate insights into app freezes, error rates, page load times, and more (15-month retention included).
Create monitors, define SLOs, and build dashboards across the Datadog platform for end-to-end visibility.

*Billed annually or $0.22 on-demand

RUM Investigate

Starting At

^$ 3

Per 1,000 sessions,
per month* on filtered sessions

Focus on critical sessions to efficiently troubleshoot issues and optimize user experiences.

Filter and retain only the most valuable sessions using flexible, no-code sampling directly in the UI without app deployments.
Prioritize sessions exhibiting errors, crashes, slow performance, high-value user behavior, and more.
Gain deep visibility into bugs and crashes with built-in Error Tracking and crash reporting tools.
Retain sessions, views, and errors for 30 days, with 15-day retention for resources, long tasks, and vitals.

*Billed annually or $4.50 on-demand

Session Replay

Starting At

^$ 2.50

Per 1,000 sessions,
per month*

Enhance RUM with video-like replays to see user issues firsthand across web and mobile

See user issues firsthand with video-like session replays for web and mobile.
Debug faster using built-in DevTools to analyze errors and performance bottlenecks.
Respect user privacy with inputs masked by default in every replay, and fine-grained masking options.
Uncover engagement patterns by pairing replays with heatmaps and 30-day retention (currently only available for web applications)

*Billed annually or $3.60 on-demand

Multi-Year/Volume discounts available

Features

Sessions
Views
Actions
Errors
Resources
Long Tasks

Visual Replay of User Sessions
Performance Vitals (Mobile & Core Web Vitals)
Out-of-the-box performance metrics
Out-of-the-box Dashboards
Retention Filters
Error Tracking

When Combined with Other Plans

Frontend-to-backend visibility with the APM integration
Query, analyze, visualize and alert on your application data

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How is a session defined?

A session is a user journey on your web application. It expires after 15 minutes of inactivity and lasts up to 4 hours. For a detailed explanation of user sessions, please see our docs.

What data does Datadog’s RUM collect?

We collect events across browser and mobile applications on various platforms. Our SDKs collect events automatically or can be instrumented to capture custom events. We capture the following events: page views and view loads, buttons clicked called actions, network requests called resources, and UI hangs called long tasks. We enrich all the events recorded with metadata called attributes. Refer to our Browser RUM and Android, iOS, React Native, and Flutter, Kotlin Multiplatform, Unity, and Roku RUM documentation

Do I need to purchase both RUM Measure and RUM Investigate SKUs?

Yes—RUM Measure and RUM Investigate are designed to work together to give you full visibility and cost control.

RUM Measure captures all sessions and powers 30+ out-of-the-box performance metrics for your web and mobile apps.
RUM Investigate lets you retain only the sessions that matter most—like those with errors, crashes, or high-value actions—based on configurable filters. Retained sessions are stored for 30 days for deep troubleshooting. You can also add Session Replay to any retained session for a visual playback of the user experience. Replay sessions are billed separately at $2.50 per 1,000 sessions.

How long are sessions and metrics retained for?

The retention policy for RUM sessions and session replays is 30 days. With OOTB metrics are generated on 100% of sessions (RUM Measure SKU) and are retained for 15 months.

Are the out-of-the-box metrics charged as custom metrics?

No – Datadog will compute out-of-the-box metrics on the sessions that you send to RUM with the RUM Measure SKU at no additional cost. If you wish to generate your own custom metrics, these will computed on 100% of your traffic, retained for 15 months, and charged as additional metrics (learn more).

What Mobile languages do you support instrumentation for?

We currently support Android (Java and Kotlin), iOS (Swift and Objective-C), React Native, Flutter, Unity, Kotlin Multiplatform, and Roku.

Can I view logs from my browser or mobile app in RUM?

Yes, these logs are automatically tied to the corresponding RUM session, making it easy to monitor when they happen during the user journey.

How can I begin setting up for RUM?

Setup steps can be found in our docs: Browser, Session Replay, Mobile.

How does Session Replay work?

Session Replay works differently for web and mobile applications. For web ones running on desktop browsers or mobile browsers, it captures changes in the web page code, called DOM and DOM-mutations, to recreate a user’s experience in real-time in the browser. For mobile ones, it flattens the view tree and transforms it into style-rich wireframes, to recompose the UI and end-user’s experience at the right view port.

How does the billing work for Session Replay?

It depends on the SDK versions used:

From Browser v5.0.0, iOS 2.22.0, Android 2.17.0, and React Native 2.6.0, Sessions are billed under “RUM & Session Replay” or “RUM” based on whether they include a Replay
For earlier versions of our Browser SDK, billing is based on the sampling rate, regardless of Replay content. Please see our documentation for more detail.
For earlier versions of our iOS, Android, and React Native SDKs, Sessions are always charged under the “RUM” plan, regardless of Replay content

Note: if you plan on collecting both Sessions with and without a Replay, you can consider committing to both “RUM” and “RUM & Session Replay” plans to optimize your usage.

Synthetic Testing & Monitoring

API, Browser and Mobile App Tests for proactive, end-to-end visibility

API Testing

Starting At

^$ 5

Per 10K test runs, per month*

Proactively monitor site availability

Monitor uptime SLAs and SLOs
Globally managed locations
Sophisticated alerting capabilities

*Billed annually or $7.20 on-demand

Browser Testing

Starting At

^$ 12

Per thousand test runs,
per month*

Easily monitor critical user journeys

Record tests without code
Intelligent, self-maintaining tests
View screenshots and front-end errors for every step

*Billed annually or $18 on-demand

Mobile App Testing

Starting At

^$ 50

Per hundred test runs,
per month*

Proactively monitor your key business flows using real devices

Record tests without code
Run tests on real Android and iOS devices
Intelligent, self-maintaining tasks
View screenshots and front-end errors for every step

*Billed annually or $72 on-demand

Continuous Testing (add-on)

Starting At

^$ 79

Per additional parallelization,
per month*

Increase the speed of your test runs in the CI

Run multiple tests at the same time across your test environments to expedite release cycles and reduce test durations
Analyze tests across your pipelines in the Synthetic Monitoring & Continuous Testing Explorer and search using facets on test durations, commit author, pipeline, and more

*Billed annually or $114 on-demand

Features

Track site uptime and latency
Understand global performance
Track SLAs and SLOs
Customize frequency of test runs
Latency display of DNS, SSL, TTFB, and more.

Web-Recorder for code-free test creation
AI-driven Self-Maintaining Tests
Waterfall visualization and screenshots
Real-time alerting with rich context
Easy sorting and filtering with tags

When Combined with Other Plans

Full stack visibility
Pivot to related metrics, traces, and logs

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What’s the difference between API Tests and Browser Tests?

API Tests monitor single endpoints or URLs, whereas Browser Tests monitor web business transactions or web user journeys that may involve several actions and pages. Multistep API tests are also available to chain several API requests together.

Are you able to alert on Synthetic monitors?

Yes, alerts are built in and triggered automatically when your tests fail. Datadog also integrates with your favorite collaboration/communication tools such as Slack, Pagerduty, ServiceNow, and more.

Can I view endpoint requests end-to-end?

Yes, with the out-of-the-box APM integration, you are able to tie back any synthetic tests to their corresponding back-end, code-level insights for minimal mean time to resolution.

Is there any extra charge for using private locations?

No. There are no additional costs to set up a private location. All test runs to a private location are billed just as they are to a managed location.

What counts as an API test run?

HTTP, SSL, DNS, TCP, and ICMP all fall under API test billing. Each hit being made on your endpoint counts as a single test run. If a test is set to run from 3 locations every minute, the test will count as 180 test runs in an hour.

For multistep API tests, each step counts as an individual API test.

What counts as a browser test run?

Each simulation of a full transaction (25 steps) counts as a single test run. A single test containing 50 steps counts as 2 test runs on each execution. So, running a 51 step test (counting as 3 test runs) every 15 minutes from 5 different locations and 2 different devices means the test will count as 120 test runs in an hour.

How do browser test subtests participate in Synthetics billing?

Subtests are treated just as any other step in the browser test. Therefore, we bill a subtest as part of the overall test execution. So if a user sets up a browser test with 3 subtests, that each have 5 steps nested, that would amount to a total of 15 steps.

Is there any extra charge for enabling Synthetic RUM data collection on Browser Tests?

No. Synthetic RUM data collection comes free of charge with Synthetic Testing and Monitoring.

How is Mobile App Testing billed?: Similar to API and Browser Synthetic Testing, Mobile App Testing is billed per test run.
Is there a limit of the number of steps in a test run?: No. However Mobile App Testing does group test steps into buckets with each set of 25 steps counted as an individual test run. For example, tests with 1-25 steps will count as 1 run, tests with 25-50 will count as 2 runs, tests with 51-75 will count as 3 runs and so on.
How are test runs calculated in Mobile App Testing?: To calculate test runs take the number of buckets (sets of 25 steps) you have in your test and multiply this by the number of devices you have selected for your test. For example, if you have a test with 26 steps and 2 devices selected this will count as 4 test runs (2 sets of 25 steps * 2 devices) and if you run this test on an hourly basis this will come out to 96 test runs per day (2 sets of 25 steps * 2 devices * 24 hours).
Does Mobile App Testing use real devices or emulators / virtual devices?: Mobile App Testing uses real devices, i.e. physical phones and tablets which are connected via the cloud, to provide the most realistic testing possible. With real devices we can more accurately represent the hardware, software and network conditions your actual users will face.
How does Mobile App Testing on real devices work?: We have a fleet of real devices maintained in our managed cloud infrastructure. Once you select your preferred device (iOS or Android) to test your app with, Datadog MAT connects with that real device over cloud and sets the app for the test.
What devices does Mobile App Testing support?: MAT supports the most popular devices (smartphones and tablets) across Android and iOS, including the iPhone, iPad, Samsung Galaxy, Google Pixel and more, and we are constantly increasing support for new devices and OS versions as they become available.
What data center is Mobile App Testing available in?: Datadog Mobile App Testing is currently available to all US1, US5, and EU1 customers. All app tests will be run from the AWS US West region.
How can I begin setup for Mobile App Testing?: To begin testing with MAT: (1) Upload the app you would like to test to the platform, (2) Select Mobile Application Test from the modal New Test under UX Monitoring or on the Synthetics home page, (3) Select the devices you would like to test with, (4) Record your test case and (5) execute your test! You can read more about how to configure your tests here.
Can I run tests in parallel with Mobile App Testing?: Yes. By default, tests executed through the API / CI are executed sequentially however if you would like to run your tests in parallel for faster execution you can purchase additional concurrency slots with our Continuous Testing SKU. Learn more about Continuous Testing here.
Can I set up alerts on Mobile App Testing monitors?: Yes, alerts are built in and triggered automatically when your tests fail. Datadog also integrates with your favorite collaboration/communication tools such as Slack, Pagerduty, ServiceNow, and more.
Does Mobile App Testing support testing progressive web apps?: No. Datadog Mobile App Testing only tests native Android and iOS apps. If you would like to test your progressive web app, you can use Datadog’s Browser Testing product which allows you to test both desktop and mobile websites. Learn more about Browser Testing here.
What are “Self-maintaining Tests” and how do they work?: The self-maintaining test capability uses an AI-driven multi-locator algorithm to detect UI changes in the app and automatically updates your tests. This reduces alert fatigue and makes test maintenance easy.
Does Mobile App Testing currently provide end-to-end visibility with APM and RUM?: Mobile App Testing currently integrates with RUM, similar to Browser Testing, allowing you to correlate synthetic tests with real-user data and insights. At this time, Mobile App Testing does not directly link with APM to provide out-of-the-box backend traces (traces are still available but requires you to manually correspond with your tests).
How do mobile app test subtests participate in Synthetics billing?: Subtests are treated just as any other step in the mobile app test. Therefore, we bill a subtest as part of the overall test execution. So if a user sets up a mobile app test with 3 subtests, that each have 5 steps nested, that would amount to a total of 15 steps.
Are there other billing options available?: Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

What is Continuous Testing?

Am I limited to a certain number of test runs based on my additional parallelization?

For example, if you want to run 100 tests in a CI pipeline and each test takes 10 seconds to run:

WITHOUT parallelization, your tests will run sequentially and your pipeline will take roughly 17 minutes to complete.
WITH parallelization, if you purchase (for example) an additional speed of 4 Parallel Testing, your 100 tests will run over a total of 5 parallel slots, and your pipeline will now take roughly 3 minutes to complete.

Note: In both cases, your 100 test runs will contribute to your API or Browser Testing test run quotas.

Can I reuse my Synthetic tests that I use to monitor my production environments?

What are parallel tests?

Parallel tests are tests that run simultaneously in your continuous integration and delivery pipelines to ensure that you can:

Reduce pipeline duration and ship new features faster
Increase development confidence and speed of delivery
Have complete test coverage and reduce the volume of production-breaking bugs from reaching your codebase

Can I see the full trace of a test if I also use Datadog APM?

What counts as a browser test run?

How do subtests count toward billing?

Network Monitoring

Unify network visibility across your clouds, applications, and devices

Cloud Network Monitoring

Starting At

^$ 5

Per host,
per month*

Understand network traffic patterns and search with tags

Built for hybrid multi-cloud and on-premises environments
Correlate applications, infrastructure, and networks faster
Focused remediations with intelligent insights and alerting

*Billed annually or $7.20 on-demand

Network Device Monitoring

Starting At

^$ 7

Per device,
per month*

Monitor the health and performance of on-premise network devices

Out-of-the-box metrics collected from switches, routers, firewalls and more
Visualize interface bandwidth and utilization, disk, fan, and other hardware health
Comprehensive and customizable alerts

*Billed annually or $10.20 on-demand

Wireless Access Points

Starting At

^$ 4

Per device,
per month*

Monitor the health and performance of wireless access points

Out-of-the-box metric collection from wireless access points vendors including Cisco Meraki
Visualize the health of your wireless network and identify performance bottlenecks
Comprehensive and customizable alerts

*Billed annually or $5.76 on-demand

NetFlow
Monitoring

30-day retention

^$ 0.65

per million records,
per month*

Monitor traffic trends and bandwidth usage for NetFlow-enabled devices

Identifying top talkers, top listeners, and top protocols
Pivot your view by filtering NetFlow records to fields such as interface, device, and application
Visualize your NetFlow data over time with our OOTB dashboard

*Billed annually or $0.94 on-demand

Features

Hop-by-hop network path visualization
Cross-service and cross-infrastructure traffic analysis
Cloud cost traffic breakdown
Security insights with DNS visibility

Hybrid, on-premises, and cloud connectivity coverage
Advanced tagging and metadata for curated views
Deployment and activation in minutes

Network topology visualizations
Automated device discovery
Drill down into interface performance
Hop-by-hop network path visualization

Hybrid, on-premises, and cloud connectivity coverage
Advanced tagging and metadata for curated views
Deployment and activation in minutes

When Combined with Other Plans

Pivot seamlessly to Infrastructure, APM and Logs
Automated Infrastructure Tags

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define a host?: A host is any physical or virtual machine that has the Datadog agent installed with Cloud Network Monitoring enabled.
How do you define an CNM flow?: A flow is a record of traffic sent and received between a source (IP:Port) and destination (IP:Port) over a five minute time period. In some cases, similar destinations are grouped into a single flow to reduce the total flow count.
Does Cloud Network Monitoring work with containers?: Yes, Datadog Cloud Network Monitoring is designed to work in containerized and highly dynamic environments. User-defined tags allow you to slice and dice network flows by almost anything, including containers, clusters, pods, and deployments.
Do I need to purchase other Datadog products to use CNM or NDM?: Having all your infrastructure, traces, logs, and network information under one roof is something we encourage for comprehensive visibility, however, it is not required. Cloud Network Monitoring requires the purchase of an Infrastructure Pro or Enterprise plan for every host that CNM is monitoring. Network Device Monitoring only requires the purchase of one or more infrastructure hosts which are used to poll devices.

How do you define a device?

A device is a physical or virtual appliance with a unique IP address that is polled using SNMP.

How are SNMP Traps billed?

Datadog is not currently billing customers for traps.

How do you define a NetFlow record?

NetFlow is a network protocol created by Cisco that describes the flow of traffic across network devices. We support all NetFlow versions, including jFlow, sFlow, IPFIX or standard NetFlow v5 or v9. The Datadog agent aggregates raw NetFlow data overtime to send on a regular basis (the default being 5 mins, this can be customized).

What are retention options for NetFlow Monitoring?

We offer 15, 30, 60, and 90 day retention for NetFlow records with the default retention being 30 days. Please for additional retention durations and inquires about pricing.

Do I need to purchase other Datadog products to use CNM or NDM?

Having all your infrastructure, traces, logs, and network information under one roof is something we encourage for comprehensive visibility, however, it is not required. Cloud Network Monitoring requires the purchase of an Infrastructure Pro or Enterprise plan for every host that CNM is monitoring. Network Device Monitoring only requires the purchase of one or more infrastructure hosts which are used to poll devices.

What is the difference between a CNM flow and NetFlow Monitoring (NDM) ?

CNM infers flow data from eBPF data it collects from the Datadog agent running on a customer host. Netflow monitoring receives flow records from physical network equipment, which today are more extensive in their information than CNM flow data. CNM flow data is used to troubleshoot host, container, and other cloud software connection issues. NetFlow Monitoring records are used to troubleshoot physical network connectivity issues and perform capacity planning.

Which devices qualify and do not qualify for the wireless AP SKU?

The Wireless AP SKU is focused on wireless APs that support OOTB API integrations built by NDM, such as Cisco Meraki. Devices that don’t qualify for this SKU include:

APs monitored directly via SNMP
Cisco Meraki devices: Switches, Appliances, Wireless LAN Controllers(WLC), and Cellular Gateways
APs monitored by WLCs

Sensitive Data Scanner

Discover, classify, and redact your sensitive data
in real time at any scale

Starting At

^$ 0.30

Per scanned GB,
per month*

Out-of-the-box and customizable detection rules
Sensitive data detection across all ingested data, regardless of source

*Billed annually or $0.45 on-demand

Features

Real-time sensitive data discovery and classification
Out-of-the-box and custom rule capabilities
Fully integrated with Datadog role-based access control (RBAC)
Stream-based pattern matching across your data
Granular control over data scanning and classification with scanning groups

Fully integrated with Datadog alerts and dashboards for compliance tracking and investigation
Correlate data using standard and custom tags
Supports data from Log Management, APM, RUM, and AWS cloud storage resources
Help protect data on-premise or in the cloud

When Combined with Other Plans

Pivot seamlessly to related metrics, traces, and logs during investigations
Correlate security signals and detailed observability data

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How does Sensitive Data Scanner work?

Sensitive Data Scanner works by using pattern-matching rules to classify and track sensitive data, and optionally scrubbing or hashing that data to prevent it from being exposed. Learn more from our documentation.

Can I filter out which logs, spans, and/or events are scanned?

Yes. Datadog allows you to set up multiple scanning groups that can be used to filter logs out using tags or log attributes.

How do I set up a scanning rule?

By either using a rule from the library or defining a custom rule. Learn how in our documentation.

What are the different options for handling sensitive data?

The Datadog Agent provides you with solutions to prevent compliance-sensitive data from being sent outside of your platform, including scrubbing. Check out more info in our documentation.

How do I ensure confidentiality / access controls for my scanning rules?

Sensitive Data Scanner is fully integrated with Datadog role-based access control (RBAC) so you can easily control which roles and users have access.

Is this available in all regions?

Yes. Sensitive Data Scanner is available in all EU-, AP-, and US-hosted accounts.

Are there other billing options?

Annual and monthly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partner Network page for more.

What does Sensitive Data Scanner scan?

Sensitive Data Scanner scans logs, APM spans, RUM events, and AWS Cloud Storage resources (e.g. AWS S3 buckets).

Can Sensitive Data Scanner scan on-premise?

To help you comply with data protection laws, you can redact sensitive information within your infrastructure using Observability Pipelines. Learn how in our documentation.

Universal Service Monitoring

Automatically discover, map, and monitor all your services—without changing code

Universal Service Monitoring

Starting At

^$ 9

Per Infrastructure Monitoring host,
per month*

Automatically discover all 1st and 3rd party services and their dependencies
Monitor real-time performance metrics of every service in one place
Standardize monitoring best practices across all teams

*Requires purchase of Infrastructure Monitoring
**Billed annually or $13 on-demand

Application Performance Monitoring

Starting At

^$ 31

Per host,
per month*

Automatically discover all 1st and 3rd party services and their dependencies
Monitor real-time performance metrics of every service in one place
Standardize monitoring best practices across all teams

*Billed annually or $36 on-demand

Multi-Year/Volume discounts available

Features

Automatic service discovery with no code changes
Real-time service dependency map
Real-time throughput, error, and latency metrics
Easy-to-set-up SLOs with consistent SLIs
Machine learning-based monitors

Automatically populated Service Catalog
Service ownership management
Source code and Pagerduty integrations
Drag & drop dashboards with template variables
Support for every programming language

When Combined with Other Plans

Pivot seamlessly to related metrics, traces, logs and code profiles during investigations
Correlate service performance and reliability with security signals

Service and Support

Technical support across chat and email
Community Forum and Online Docs

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is Universal Service Monitoring (USM) and how does it work?

Universal Service Monitoring (USM) uses the revolutionary eBPF technology (kernel-level) to provide request, error, and latency metrics for the entire fleet of services in seconds, with no code changes and regardless of programming language. To learn more please read our documentation and blog.

What kind of billing plan do I need to run USM?

Datadog USM must be purchased in addition to Infrastructure Monitoring. One option is to purchase USM for all Infrastructure Monitoring hosts on your plan (starting at $9 per host per month).

Can I purchase USM for a subset of my Pro or Enterprise Infrastructure hosts?

Yes. If you would like to set up USM on a subset of your Pro or Enterprise Infrastructure hosts, you would need to purchase APM. Every purchase of an APM host now includes USM on that host at no additional cost, starting at $31 per host per month.

I am an existing Infrastructure Monitoring customer. Can I add USM to my plan?

Yes. Existing Infrastructure Monitoring customers can add USM to all their Pro or Enterprise hosts for an additional $9 per host per month (starting price with an annual commitment). Reach out to your Customer Success Manager for further details.

What types of Infrastructure does USM support?

USM currently supports containerized environments and non-containerized environments. For more information please visit our documentation.

Does USM support serverless technologies?

Serverless technologies such as ECS Fargate, EKS Fargate, and AWS Lambda are not currently supported.

What operating systems does USM support?

USM currently supports most Linux (4.14+) or CentOS/RHEL (8.0+) environments and Windows IIS-based services (Windows 2012 R2+). For more information please visit our documentation.

Which programming languages and network protocols does USM support?

USM is programming language-agnostic and currently supports containerized applications that communicate using HTTP and HTTPS (OpenSSL and GnuTLS are supported). For more information please visit our documentation.

What is the difference between USM and Datadog APM?

USM automatically discovers, maps, and catalogs your 1st- and 3rd-party services without requiring any redeployment and regardless of programming language. This allows you to gain instant visibility into their health metrics and dependencies, and quickly detect issues anywhere in your application. Datadog APM allows you to easily troubleshoot issues with distributed traces and code profiles that provide request- and code-level visibility for fast root-cause analysis and resolution.

Can I purchase USM and APM on the same host?

Yes. You can set up USM on all your Pro or Enterprise Infrastructure hosts and set up APM and distributed tracing on all or a subset of these hosts. This applies to both existing and new Datadog APM customers.

How does billing work if I purchase USM and APM on the same host?

If both USM and APM are purchased and/or installed on the same host, you will only pay the APM price, based on your APM plan.

Are there other billing options?

Annual, monthly, and hourly plans are available in combination with Infrastructure Monitoring. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ or reach out to your account manager.

Cloud SIEM

Detect security threats with a real-time detection engine and built-in threat intelligence; conduct investigations and threat hunts across 15-months of security data.

15-months analysis & retention

Starting At

^$ 5

Per million events analyzed,
per month*

More than 350, and growing, out-of-the-box detection rules maintained by Datadog’s detection engineering experts
Logs are analyzed in real time for detection within seconds
Threat hunt and investigate across 15-months of security data using our easy-to-use log search tools
Reduce time to insight in complex cloud environments using our graph-based, entity-focused investigation tools
Accelerate mean time to response with automation workflows***

Cloud SIEM is billed annually or $7.50 on-demand
**Ingestion starts at $0.10 per ingested or scanned GB, per month
***Workflows are billed separately

Multi-Year/Volume discounts available (1.2B+ events/mo)

Features

Detect threats in seconds, not minutes or hours
Growing library of out-of-the-box integrations for essential security tools
Designate all or specific data for analysis through in-app or API security filters
Easy-to-use query language and search tools
Out-of-the-box detection rules identifying potential malicious behavior
Signals are embedded with MITRE ATT&CK® and playbook guidance
Dynamic, eye-catching, and customizable dashboards

All security log and signal data retained and indexed for 15-months
Unlimited user accounts
Deployment in minutes
Activate bundled security content with out-of-the-box content packs to get started quickly
Investigate cloud entities using graph-based visualizations
Pivot seamlessly to related metrics, traces, and logs during investigations
Collaborate quickly and easily between developers, operations, and security teams using built-in case management and incident management tools

When Combined with Other Plans

Correlate security signals and detailed observability data
Accelerate response with Workflow Automation

Service and Support

Easy access to support via chat or email
Join active online community forum for discussions and resolutions to questions
Access extensive online documentation to expand skills and product knowledge
Select from support plans right-sized for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

Which logs are analyzed by Cloud SIEM?

Cloud SIEM only analyzes the logs you choose to send to it.

What detection rules are available out of the box?

Datadog continuously releases new detection rules, which are automatically enabled for existing customers. To explore Cloud SIEM’s default detection rules, please visit our public docs.

How are detection rules categorized?

Rules that detect potential attacker techniques are mapped to the MITRE ATT&CK® framework.

Can users write their own custom detection rules?

Yes, Cloud SIEM includes a rule editor that lets users edit default detection rules or write their own. The editor does not require users to learn a proprietary query language. To learn more about Cloud SIEM’s log detection and correlation rules see our documentation here and here.

Is there an additional cost for writing custom threat detection rules?

No, Cloud SIEM covers the analysis of ingested logs both by default detection rules, as well as by any user-defined detection rules.

Is there an additional cost for retaining security signals generated by detection rules?

No, Cloud SIEM covers the retention of security signals for 15 months.

Are there other billing options?

Annual and monthly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Serverless Monitoring

Detect and resolve performance issues in your serverless apps

Serverless Workload Monitoring

Starting At

^$ 5

Per active* function,
per month**

Centralized monitoring of serverless apps

Detect issues with real-time serverless metrics
Identify increases in cold starts or cold start duration
Search for functions with custom serverless tags
Correlate metrics with recent deployments

*Average of the hourly number of invoked functions
**Billed annually or $7.20 on-demand

Serverless Workload Monitoring

Starting At

^$ 5

Per active* step function,
per month**

Add deeper visibility into your functions

Detect issues in your AWS Step Functions in real time
Identify bottlenecks and optimizations in individual states within your step function
Correlate metrics with logs, error tracking, and deployment tracking to troubleshoot faster

*Average of the hourly number of active step functions
**Billed annually or $7.20 on-demand

Serverless Workload Monitoring

Starting At

^$ 3

Per active* application instance,
per month**

Centralized monitoring of Azure Container Apps

Detect issues with real-time OOTB and custom metrics
Identify increases in cold starts or shutdowns
Search for services with custom tags
Correlate metrics with audit logs from serverless resources
Find bottlenecks or errors for individual requests
Trace functions, APIs and queues all in one trace
Enrich traces with request and response payloads
Visualize requests with out-of-the-box service map

*Average of the hourly number of app instances
**Billed annually or $4.32 on-demand

Serverless Workload Monitoring

Starting At

^$ 3

Per active* application instance,
per month**

Centralized monitoring of Google Cloud Run

Detect issues with real-time OOTB and custom metrics
Identify increases in cold starts or shutdowns
Search for services with custom tags
Correlate metrics with audit logs from serverless resources
Find bottlenecks or errors for individual requests
Trace functions, APIs and queues all in one trace
Enrich traces with request and response payloads
Visualize requests with out-of-the-box service map

*Average of the hourly number of app instances
**Billed annually or $4.32 on-demand

Serverless Functions APM

Starting At

^$ 10

Per million state transitions*,
per month**

Tracing for your workflows

Visualize the path of your executions to identify exactly where to begin troubleshooting issues
Identify bottlenecks and optimizations in individual states within your step function with execution-level metrics and monitors
See input and output payloads on each state transition to reproduce bugs easily

*Triggered by active workflows. 1 step function state transition is equivalent to 1 step function span.
**Billed annually or $15 on-demand

Serverless Functions APM

Starting At

^$ 10

Per million traced invocations*,
per month**

Add deeper visibility into your active functions

Find bottlenecks or errors for individual invocations
Trace functions, APIs and queues all in one trace
Enrich traces with request and response payloads
Visualize requests with out-of-the-box service map

*Triggered by active functions. 1 traced lambda invocation is equivalent to 1 top level span.
**Billed annually or $15 on-demand

Serverless Application Security

Starting At

^$ 10

Per million traced invocations*,
per month**

Comprehensive threat detection

Detect attackers in real time
Investigate attacks with distributed tracing and runtime context
Build custom detection rules to detect business logic attacks
Integrate with existing security stack to respond to attacks

*Triggered by active functions
**Billed annually or $15 on-demand

Features

Integrates with AWS CDK, Serverless Framework, SAM, Terraform, and more
Out-of-the-box health dashboards for API Gateway, Step Functions, SQS, DynamoDB, and more
Optimize function memory use and cold starts with Watchdog Insights
Optimize memory and cold starts
Available for Lambda functions in all major Lambda runtimes

Analyze request and response payloads for each serverless invocation
Performance metrics and version comparisons for every release with deployment tracking
Automatic APM trace map visualizes end-to-end trajectory for requests and attacks
Pivot from failing functions to related commits in GitHub
140+ out-of-the-box rules to detect attacks in real time

Out-of-the-box health dashboards for AWS Step Functions
Easily understand and optimize bottlenecks Step Functions with an aggregated State Machine Health Map
Visualization execution map to identify error-states, inputs, and outputs to easily reproduce issues
Correlated logs, metrics, error tracking, and traces for simplified troubleshooting

Upstream trace propagation and linked lambda traces for end-to-end trajectory for each request
Performance metrics and version comparisons for every release with deployment tracking
End-to-end flame graph and waterfall visualizations within APM with the ability to generate trace metrics and monitors

Out-of-the-box health dashboards for App Services, Functions, Container Apps, CosmosDB, and more
Optimize memory use, cold starts, and shutdowns with Watchdog Insights
Available for Container Apps in all major runtimes

Performance metrics and version comparisons for every release with deployment tracking
Automatic APM trace map visualizes end-to-end trajectory for each request
Pivot from failing functions to related commits in GitHub

Out-of-the-box health dashboards for Cloud Run, Pubsub, Bigtable, Datastore, and more
Optimize service memory use, cold starts, and shutdowns with Watchdog Insights
Available for Cloud Run in all major runtimes

Performance metrics and version comparisons for every release with deployment tracking
Automatic APM trace map visualizes end-to-end trajectory for each request
Pivot from failing functions to related commits in GitHub

Serverless Function Pricing Example

	HOUR 1	HOUR 2	HOUR 3
Function A	10 invocations	0 invocations	1M invocations
Function B	1 invocation	5M invocations	1M invocations
Function C	0 invocations	0 invocations	1 invocation
Total Active Functions for Hour	2 active functions (Function A and B)	1 active functions (Function B)	3 active functions (Function A, B, and C)

2 + 1 + 3

= 2 average active functions for this time period

= 2 average active functions × $5 = $10

*denominator for normal month would be the number of hours in that month. For example, in a 30-day month, it would be 720 hours.

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define an active function?: Datadog bills based on the average number of functions per hour across the month for your accounts. Every hour, Datadog records the number of functions that were executed one or more times and monitored by your Datadog account. At the end of the month, Datadog charges by calculating the average of the hourly number of functions recorded. For example, if you invoked a function only once during a month, your bill will be 1 function / 720 hours * $5.
How do you define a traced invocation?: Datadog creates a top-level Lambda span for every Lambda invocation that is traced. Your bill is based on the sum of AWS Lambda invocations connected to an ingested APM trace in a given month. You will also be billed for the total number of indexed spans submitted to the Datadog APM service exceeding the bundled quantity at the end of the month.
Can I control how many invocations are traced?: Yes, Datadog allows you to control the percentage of Lambda function invocations that generate APM data.
Can Serverless Functions APM be purchased without Serverless Workload Monitoring?: No, Serverless Functions APM is an optional add-on for serverless functions sending metrics to Datadog via Serverless Workload Monitoring.
What is allotted with Serverless Functions APM?: Span Ingestion: 50GB Ingested Spans per 1M traced invocations; then $0.10/GB. Span Retention: 300 thousand Indexed Spans per 1M traced invocations; then $1.70 per 1 million Indexed Spans with 15-day retention (billed annually or $2.55 on-demand). See APM common questions for additional retention periods.
What AWS Lambda runtimes do you support?: Python, Node.js, Go, Ruby, Java, and .NET
Can I monitor other AWS services used alongside my Lambda functions?: Yes, Datadog has an easy to set up AWS integration which immediately pulls in metrics and more from 85+ AWS services, including Amazon API Gateway, Amazon DynamoDB, AWS AppSync, Amazon SQS, Amazon Kinesis, and AWS Step Functions.
What security capabilities are available for AWS Lambda?: Datadog allows you to detect meaningful threats on your applications running on AWS Lambda, and block attacks in your AWS Web Application Firewall (WAF) using Workflow Automation. Learn more about application security with our documentation.

How do you define an active AWS Step Function?: Datadog bills based on the average number of AWS Step Functions per hour across the month for your accounts. Every hour, Datadog records the number of Step Functions that were executed one or more times and monitored by your Datadog account. At the end of the month, Datadog charges by calculating the average of the hourly number of AWS Step Functions recorded. For example, if you invoked a function only once during a month, your bill will be 1 function / 720 hours * $5.
How do you define a span for AWS Step Functions?: Datadog bills based on the sum of AWS Step Function State transitions connected to an ingested APM trace in a given month. You will also be billed for the total number of indexed spans submitted to the Datadog APM service exceeding the bundled quantity at the end of the month.Any spans that are linked to the Step Function state, such as a Lambda invocation span ,is billed additionally. See AWS lambda pricing for more details.
Can I control how many invocations are traced?: Yes, Datadog allows you to control the percentage of AWS Step Function invocations that generate APM data.
Can Serverless Functions APM be purchased without Serverless Workload Monitoring?: No, Serverless Functions APM is an optional add-on for serverless functions sending metrics to Datadog via Serverless Workload Monitoring.
What is allotted with Serverless Functions APM?: Span Ingestion: 50GB Ingested Spans per 1M traced invocations; then $0.10/GB. Span Retention: 300 thousand Indexed Spans per 1M traced invocations; then $1.70 per 1 million Indexed Spans with 15-day retention (billed annually or $2.55 on-demand). See APM common questions for additional retention periods.
What if I am sending both AWS Lambda Spans and AWS Step Function Spans?: AWS Lambda spans will be billed separately from AWS Step Function Spans. However, you can still link traces from AWS Lambda and Step Functions together together to get end-to-end step function execution visibility.
Can I monitor other Serverless AWS services used alongside my Step Functions?: Yes, you can monitor AWS Lambda functions with the Datadog Extension to get even deeper visibility into your Serverless workloads. Datadog also has an easy to set up AWS integration which immediately pulls in metrics and more from 85+ AWS services, including Amazon API Gateway, Amazon DynamoDB, AWS AppSync, Amazon SQS, Amazon Kinesis

How do you define an active application instance?: Active instances for Azure Container Apps are measured based on the number of unique active Container App Replicas that are monitored within each 5-minute period. To calculate the monthly average, we take the average number over all 5-minute periods in the month.
Is Tracing included in Container App Monitoring?: Yes. However, any spans submitted from Azure Container Apps that go over your org’s current allotment will still be billed. Span Ingestion: 50GB Ingested Spans per 1M traced invocations. Span Retention: 300 thousand Indexed Spans per 1M traced invocations. See APM common questions for additional retention periods.
What metrics are included in Serverless Workload Monitoring?: Each active application instance includes an allotment of 5 ingested custom metrics and 5 indexed custom metrics.
Can I control how many requests are traced?: Yes, you can control the percentage of Container App requests that generate APM data by configuring your tracing settings.

How do you define an active application instance?: Active instances for Cloud Run are measured based on the number of unique active Cloud Run instances that are monitored within each 5-minute period. To calculate the monthly average, we take the average number over all 5-minute periods in the month.
Is Tracing included in Container App Monitoring?: Yes. However, any spans submitted from Cloud Run that go over your org’s current allotment will still be billed. Span Ingestion: 50GB Ingested Spans per 1M traced invocations. Span Retention: 300 thousand Indexed Spans per 1M traced invocations. See APM common questions for additional retention periods.
Can I control how many requests are traced?: Yes, you can control the percentage of Cloud Run requests that generate APM data by configuring your tracing settings.

Audit Trail

Maintain compliance, enforce platform governance, and build transparency

Starting At

2% of monthly spend*

Get full visibility into user access and platform changes across all services, empowering DevOps and compliance teams with context-rich insights.

*Billed annually or 3% on-demand

Features

Audit all access and configuration activity across Datadog Platform
Search and analyze detailed audit events for up to 90 days
Archive audit events for long-term retention

Fully integrated with Datadog alerts and dashboards for compliance tracking and investigation
Alert on critical events such as changes in index retention
Fully Integrated with Datadog role-based access control (RBAC)

When Combined with Other Plans

Pivot seamlessly to related metrics, traces, and logs during investigations
Correlate security signals and detailed observability data

Service and Support

Technical Support (Chat and Email)
Community Forum and Online Docs

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How does Audit Trail work?

Audit Trail captures all access and configuration change activity and provides a single view to search and analyze the events. Learn more from our documentation.

How do I set up Datadog Audit Trail?

Datadog Audit Trail can be enabled in Organization Settings, in the Audit Trail Settings page. Learn more in our docs.

How do I ensure confidentiality / access controls for my Audit Trail Events?

Datadog Audit Trail is fully integrated with Datadog role-based access control (RBAC) so you can easily control which roles and users have access. Read more in our docs.

Do I need to purchase other Datadog products to use Datadog Audit Trail?

Yes.

Is this available in all regions?

Yes, Datadog Audit Trail is available in all EU- and US- hosted accounts.

Are there other billing options?

For more information about billing options, please contact your customer success representative.

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partners page for more.

Cloud Security

Unified view of infrastructure threats and findings

CSM Pro

Starting At

^$ 10

Per host,
per month*

Continuous scanning across your entire cloud infrastructure with a combination of agent and agentless scanning

Cloud Security Posture Management (CSPM)
Kubernetes Security Posture Management (KSPM)
Built-in mapping of your resources to compliance frameworks to help with audits
Vulnerability Management (VM) for Containers & Hosts
Cloud Infrastructure Entitlement Management (CIEM)
Comprehensive inventory of cloud resources & linked risks
Case management
Workflows to automate remediation

*Billed annually or $12 on-demand

CSM Enterprise

Starting At

^$ 25

Per host,
per month*

Includes everything in CSM Pro, as well as:

File integrity monitoring
Workload Protection for Linux, Windows Kubernetes, Docker, and AWS Fargate ECS/EKS
Increased container allotment (20 containers allotted per host license**)

*Billed annually or $30 on-demand
**Additional containers billed at $0.002 / hr per container

Multi-Year/Volume discounts available (500+ hosts/mo)

Features

Pro

Enterprise

Features

Cloud Security Posture Management (CSPM)

Kubernetes Security Posture Management (KSPM)

Built-in mapping of your resources to compliance frameworks to help with audits

Vulnerability Management (VM) for Containers & Host

Cloud Infrastructure Entitlement Management (CIEM)

File integrity monitoring

Workload Protection

Comprehensive inventory of cloud resources & linked risks

Case management

Allotments

Workflow Automation

5 workflow executions per host per month

20 workflow executions per host per month

CSM Containers

5 containers per host per month

20 containers per host per month

When combined with other products

One interface to correlate workload level threats with misconfigurations, vulnerabilities, and identify related risks.

Pivot seamlessly to related metrics, traces, and logs during investigations

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

Who is this for?: CSM Pro is built to support multiple teams in discovering their existing cloud infrastructure, identifying issues that require attention, and evaluating their compliance readiness with cloud security posture management, all while providing guidance on how to address those gaps effectively.
Can I purchase CSM Pro for some hosts, and CSM Enterprise for the rest of my hosts?: No, you may either purchase CSM Pro or CSM Enterprise for your organization, but not both.
What kind of billing plan do I need to run CSM Pro?: CSM Pro can be purchased without needing any other Datadog plan. It does not require the purchase of an Infrastructure Monitoring plan.
What counts as a billable host?: A host is any physical or virtual OS instance that you protect with Datadog using agent or agentless technology. It could be a server, VM, node (in the case of Kubernetes) or an App Service Plan instance (in the case of Azure App Services).
What capabilities are included?: Continuous scanning for misconfigurations, vulnerability management for container images, a full inventory of your cloud resources, case management, and 5 workflow executions per host per license.
What does setup involve?: Getting started requires cloud provider integrations and optionally the unified Datadog agent.

Who is this for?: CSM Enterprise is an advanced solution tailored specifically for security-minded teams that quickly maps, identifies, and prioritizes misconfigurations, threats, vulnerabilities and identity risks across their entire cloud infrastructure.
Can I purchase CSM Pro for some hosts, and CSM Enterprise for the rest of my hosts?: No, you may either purchase CSM Pro or CSM Enterprise for your organization, but not both.
What kind of billing plan do I need to run CSM Enterprise?: Every billable CSM Enterprise host requires the purchase of Enterprise Infrastructure Monitoring.
What capabilities are included?: Continuous scanning for misconfigurations, vulnerability management for container images and hosts, real-time threat detection, cloud infrastructure entitlement management, anomalous workload profile detection, a full inventory of your cloud resources, case management, 20 workflow executions per host, and 20 containers included per host license.
Is Infrastructure Monitoring Pro or Enterprise required on every CSM Enterprise Host: Yes, for example, if you subscribe for 10 CSM Enterprise Hosts, those hosts must also be subscribed for 10 Infrastructure Pro or Enterprise hosts. This applies to both committed and non-committed host usage.
What does setup involve?: Getting started requires cloud provider integrations and optionally the unified Datadog agent.
Why are Workload Protection and CSM Pro listed on my bill?: If you are using CSM Enterprise on demand, your bill will temporarily show the line items CSM Pro and Workload Protection. Those will be transitioned out by the end of year and replaced by a line item for CSM Enterprise only.
What counts as a billable host?: A host is any physical or virtual OS instance that you monitor with Datadog. It could be a server, VM, node (in the case of Kubernetes) or App Service Plan instance (in the case of Azure App Services).

Data Streams Monitoring

Track and improve the performance of your
streaming data pipelines from end to end

Starting At

^$ 15

Per host, per month*

Detect slowdowns anywhere in your event-driven applications
Localize and resolve pipeline bottlenecks and failures
Remediate floods of backed-up messages

*Billed annually or $18 on-demand

Features

Out-of-the-box pipeline topology mapping
Consumer lag and partition metrics
End-to-end latency and throughput metrics
Recommended monitors
Correlated telemetry: traces, logs, and infrastructure metrics

Schema tracking
Team ownership information
Custom dashboards
Unlimited users

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is Data Streams Monitoring and how does it work?

Datadog Data Streams Monitoring (DSM) allows you to track and improve the performance of event-driven applications that use Kafka, SQS, and RabbitMQ. DSM automatically maps dependencies between all services and queues, measures latency between them, and provides additional health metrics, such as consumer lag, across your streaming data pipeline to help you monitor it end to end.

What counts as a billable DSM host?

A billable Data Streams Monitoring host is a host that has the Datadog Agent installed and producer and consumer services that are running on it and instrumented for DSM. Visit our documentation for additional setup information.

What kind of billing plan do I need to run Data Streams Monitoring?

Every billable DSM host requires the purchase of Pro or Enterprise Infrastructure Monitoring, regardless if it is combined with APM. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.

Can I purchase Data Streams Monitoring as part of a bundle?

Yes, Data Streams Monitoring is available bundled with APM as part of APM Pro and Enterprise and enables DSM across your APM fleet.

What Technologies do you support?

DSM currently supports Kafka, RabbitMQ, and SQS. For additional queueing technologies, we provide custom instrumentation options.

How long is DSM data retained for?

Map history is stored for 30 days and all metrics are retained for 15 months.

Cloud Cost Management

Take control of your cloud costs

Starting At

^$ 7.50

Per host,
per month*

Break down and allocate your costs at a granular level, down to an individual resource
Quickly identify top cost changes and take action on them
Empower your Engineering teams to include costs on their application dashboards

*Billed annually or $10.80 on-demand

Features

When Combined with Other Plans

Pivot seamlessly to Service Catalog to understand Service performance
Unify cost data with observability data to understand cost drivers

Service and Support

Technical Support (Chat and Email)
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define and bill for hosts with CCM?

A host is any EC2 instance that appears in your AWS cost & usage report, or VM in your Azure/Google cost exports. We use an hourly average across the entire month for metering.

Do I need to purchase other Datadog products to use Cloud Cost Management?

Having all your infrastructure, traces, and cost data in one place is something we encourage for comprehensive visibility and contextualization. However, you can use Cloud Cost Management without purchasing other Datadog products.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Which Cloud Service Providers is this available for?

Cloud Cost Management is available for AWS, Azure, and Google Cloud, with beta support for other cost integrations.

Is this available in all regions?

Yes. Cloud Cost Management is available in all EU- and US-hosted accounts.

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partners page for more.

Does Cloud Cost Management give visibility into all AWS, Azure, and Google Cloud, products?

Yes, you will see costs for all resources (including storage, databases, and more) in your bill even though you only pay for Cloud Cost Management based on your host count.

Database Monitoring

Surface slow performing queries and optimize application performance

Starting At

^$ 70

Per database host,
per month*

Track normalized query performance trends using database-generated metrics
Correlate query performance with database infrastructure metrics
Access all of your database insights, database hosts, clusters, and applications
Extract valuable data without compromising database security

*Billed annually or $84 on-demand

Features

In-depth explain plans
Out-of-the-box slow query detection
200 normalized queries allotted per host
Automatic PII obfuscation from all query data
No code instrumentation needed
Unlimited user accounts

Tag-based query filtering and grouping
Access to hundreds of relevant database metrics
Total visibility into your Postgres, MySQL, SQL Server, and Oracle databases whether self-hosted or managed
Out-of-the-box database list with active connections and in-depth wait event analysis

When Combined with Other Plans

Set triggers to alert teams on abnormal query trends
Visualize and easily share insights with key stakeholders via Datadog Screenboards
Out of the box support for dashboards, monitors, SLOs and advanced formulas and functions

Service and Support

Technical support across chat and email
Community Forum and Online Docs
Plans with the right level of support for your organization

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do you define a database host?

A database host is any physical or virtual instance hosting your database on a server that you monitor with Datadog.

Note: Azure SQL Database deploys a database in an isolated network; each database is treated as a single host.

What databases are supported?

Database Monitoring (DBM) is vendor-agnostic. We support Postgres (9.6+), MySQL (5.6+), SQL Server (2012, 2014, 2016, 2017, 2019), Oracle (11g, 12c, 18c, 19c, 21c), MongoDB (4.4+) and Amazon DocumentDB (4.0.0, 5.0.0) databases at this time, whether they be on-premise, self-managed, or cloud-hosted. In the future, we plan to support additional databases.

Can I purchase Database Monitoring (DBM) standalone?

No, you need to be an existing Infrastructure Monitoring customer to purchase Database Monitoring.

I am an existing Infrastructure Monitoring customer. Can I purchase DBM for a portion of my database hosts?

Yes, you can purchase Database Monitoring (DBM) for one, some, or all of your database hosts!

What are (query) explain plans and how are they useful?

A query explain plan or query execution plan describes the steps used to access data and enables you to locate hotspots. We automatically capture explain plans for all queries to make sure that you have sample available during critical moments.

How long is DBM data retained?

– Query metrics are retained for 3 months
– Explain plans and query samples are retained for 15 days

How does DBM work?

DBM uses the Datadog Agent to capture data from your databases. Please see our documentation for more information.

Does DBM require the use of an additional agent?

No, as long as you are an Infrastructure Monitoring customer and already have the standard Datadog Agent set up, you are able to use Database Monitoring. Check out our docs page for details.

What are normalized queries?

Identical queries with different parameters are grouped together by obfuscating the parameters. These query groups are called normalized queries and are sometimes referred to as query digests. Each database host comes with an allotment of 200 normalized queries. Obfuscating parameters at the agent level also ensures that no sensitive data is forwarded.

Are there other billing options?

Annual and monthly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Observability Pipelines

Aggregate, process, and route log data in your own environment at scale

Starting At

^$ 0.10

Per ingested GB
per month* **

Billed per GB of uncompressed data ingested
**Billed annually or $0.12 on-demand

Multi-Year/Volume discounts available

Per vCPU pricing, recommended for volumes above 30TB/month, is also available***

*** Billed annually per vCPU allocated to Observability Pipelines Worker, or $3.00 per vCPU per hour on-demand

Features

Predictable pricing and accounts for spike and changes in volume with vCPU pricing
Aggregate logs from a variety of sources
Make decisions before data leaves your environment
Control costs by filtering or sampling noisy or uninteresting logs
Reduce the size of events by dropping unnecessary fields
Easily dual ship logs to destinations
Store logs in an archive of your choosing in a rehydratable format

Redact sensitive data with custom rules or with Sensitive Data Scanner library rules
Easily scale to petabytes of logs per day
Remotely deploy changes to any pipelines running in your infrastructure
Monitor the health of all of your telemetry pipelines at scale
Identify bottlenecks and verify data delivery in all your pipelines

Service and Support

Technical support (Chat and Email)
Community Forum, Robust Open Source Community, and Online Docs

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How does Observability Pipelines work?

Observability Pipelines gives the freedom to collect, transform, and route logs in your own environment in order to control costs, reduce lock-in, enhance security, and standardize data. You can learn more about how it works in our documentation.

Where does Observability Pipelines run?

Observability Pipelines Worker runs in your own infrastructure. It can be installed anywhere in your infrastructure with a simple configuration and Datadog API key. This allows you to make decisions and control costs before data leaves your environment. To learn more about the setup process, check out our documentation here.

What are the benefits of the per GB ingest pricing?

This is suited for organizations with volumes below 30TB/month. It is cost effective at lower volumes and easy to understand, as well as allowing you to pay based on your usage as you scale or ramp up early on.

However, your bill will increase at a linear rate as your volume increases, so if you are expecting your observability volume to balloon in the near future, the vCPU pricing may work better for your organization.

What are the benefits of the per vCPU pricing?

Per vCPU pricing is suited for volumes above 30TB/month, as it scales better especially at high volumes. In addition, the per vCPU pricing gives you predictable pricing year round if you expect frequent spikes or changes to your organization’s volume of observability data. Finally, it allows you to scale your computational resources based on the intensity of the processing required.

How many vCPUs do I need?

Sizing and resource provisioning for Observability Pipelines Worker depends on various factors, such as the pipeline configuration and workload. Generally speaking, we recommend provisioning 1 vCPU for every 30TB/month.

Read our documentation on Capacity Planning and Scaling for additional details.

What happens if I send an unexpectedly high volume of data?

Committing to vCPU pricing model allows you to absorb spikes in volume.

Even if you’re paying based on ingested volume, by committing to a monthly volume of data, you are not rate-limited based on a single day’s volume. Send as much data as you need on any given day without losing visibility. Assuming your average is lower on other days, your bill is unaffected. In those cases where you have a big month, not to worry! You maintain complete visibility and may be subject to overages only on the volumes that exceed your commitment.

Are there other billing options?

Annual and monthly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partner Network page for more.

App and API Protection

Secure web-apps and APIs with context-aware vulnerability and threat management

Starting At

^$ 31

Per host,
per month*

Detect OWASP attacks in real-time
Protect web application by blocking suspicious requests or bad actors
Investigate with runtime execution context and attack flow

*Billed annually or $36 on-demand

Features

Context rich signals by leveraging distributed traces
Pivot to observability telemetry during investigations
Deployment in minutes

Unlimited user accounts
15-month retention of security signals
90 day retention of suspicious requests

When Combined with Other Plans

One interface to correlate application threats with host & workload level threats or misconfiguration

Service and Support

Technical Support (Chat and Email)
Community Forum and Online Docs

Add-ons

Threat Management for AWS Fargate

$2 per task ($2.90 on demand)

Serverless Applications - AWS Lambda (Threat Management Only)

$2 per million traced invocations ($2.90 on demand)

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

Is App and API Protection a standalone offering? Can App and API Protection (Threat Management) be sold separately?

App and API Protection can be sold separately, but requires Datadog Infrastructure Monitoring.

How does App and API Protection work?

App and API Protection leverages Datadog libraries to detect threats on your applications. The library embeds an in-app WAF to detect and block attacks based on configurable rules. Please refer to the documentation to learn more.

What counts as a billable App and API Protection host?

Similar to APM, a billable App and API Protection host is a host on which App and API Protection is enabled and that is actively submitting spans to the Datadog SaaS application.

What languages does App and API Protection support?

Java, Ruby, Go, Node, .NET and PHP. Python. App and API Protection also supports Fargate environments as well as serverless functions.

Do I have to deploy the product across all my APM hosts?

No, you have the ability to select the service to activate the product with.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Is this available in all regions?

Yes. App and API Protection is available in all EU-, JP- and US-hosted accounts.

Do you have special offerings for partners?

We’re always looking to partner with technology and service providers and resellers. See our Partners page for more.

Data Jobs Monitoring

Observe, troubleshoot, and cost-optimize your Spark and Databricks jobs across data pipelines

Starting At

^$ 0.05

Per host, per hour*

Detect problematic Spark and Databricks jobs anywhere in your data pipelines
Remediate failed and long-running-jobs faster
Optimize overprovisioned compute resources to reduce costs

*Billed annually or $0.072 on-demand

Features

Health & performance overview of jobs and clusters
Alerts for failed & long-running jobs
Job run performance trends
Job execution traces & metrics

Resource utilization metrics (e.g., CPU, memory, disk)
Estimated costs of jobs & clusters
Custom dashboards
Unlimited users

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

How do I set up Data Jobs Monitoring (DJM)?

Depending on the platform you use to run Apache Spark, follow the installation instructions for Amazon EMR, Databricks, and/or Kubernetes. Learn more about how DJM works from our documentation.

What is the default retention for DJM data types?

90 days for job execution traces and 15 months for metrics.

How is DJM usage calculated and how is it billed?

Datadog DJM is billed per host, per hour. This uses an average host count per hour, by sampling the number of unique hosts instrumented every five minutes and taking an average of those samples.

Example: Suppose we observe:
1:00-1:05 pm: 100 unique DJM hosts
1:05-1:10 pm: 300 unique DJM hosts
1:10-1:15 pm: 150 unique DJM hosts
1:15-1:20 pm: 50 unique DJM hosts
1:20-2:00 pm (last 8 intervals): 0 unique DJM hosts

The sum of unique host counts in each five-minute interval for the hour is 100 + 300 + 150 + 50 = 600. Since there are 12 five-minute intervals in one hour, we would then divide this sum by 12 to get the average, leading to 600 / 12 = 50.

Assume we see this usage pattern once a day for 30 days. This would result in a monthly total of 50 x 30 = 1,500 billable DJM host hours.

Does using DJM generate usage of other Datadog products?

DJM job execution traces generate Span Ingestion and Span Indexing usage, which may lead to additional charges beyond the allotted 0.205 GB Ingested Spans & 1,370 Indexed Spans per DJM host, per hour.

DJM for Spark on Kubernetes (K8s) generates container monitoring usage and there is an allotment of 10 DJM containers per host.

Enabling Spark log collection (optional) when using DJM is billed via Datadog Log Management.

Do hosts with DJM also count as Infrastructure hosts?

No, hosts where DJM is enabled do not require Infrastructure Monitoring and are not billed as Infrastructure hosts.

Is this available in all regions?

DJM is available in our AP, EU, and US data centers. It is currently not available in GovCloud (US).

Code Security

Fix critical code and library vulnerabilities from development to production

Static Code Analysis (SAST)

Starting At

^$ 25

Per committer,
per month*

Secure 1st party code in development

Integrate security directly into developers’ IDEs for real-time feedback
Integrate SAST into CI/CD pipeline for automated, continuous security
Apply suggested code fixes from inline pull request comments during code review

*Billed annually or $36 on-demand

Software Composition Analysis (Static SCA)

Starting At

^$ 25

Per committer,
per month*

Secure 3rd party code in development

Identify vulnerabilities in open-source libraries and dependencies directly within the development pipeline before deployment
Automatically generate a Software Bill of Materials (SBOM) to maintain visibility into all open-source dependencies
Ensure compliance by detecting and analyzing open-source licenses used in your applications

*Billed annually or $36 on-demand

Runtime Code Analysis (IAST)

Starting At

^$ 20

Per host,
per month*

Secure 1st party code at runtime

Find vulnerabilities in the code of applications in production in real time
Prioritize the remediation of the highest-risks vulnerabilities with real-time observability context
Quickly find the source of any vulnerability with code snippets and speed up the remediation process

*Billed annually or $29 on-demand

Software Composition Analysis (Runtime SCA)

Starting At

^$ 10

Per host,
per month*

Secure 3rd party code at runtime

Find vulnerabilities in open source libraries and their dependencies in production in real-time
Prioritize the remediation of the highest-risk vulnerabilities with real-time observability context
Reduce mean-time-to-remediate with actionable remediation guidance

*Billed annually or $15 on-demand

Code Security

Starting At

^$ 40

Per committer,
per month*

Secure your custom code and software supply chain

Secure and maintain custom code and open source libraries in your repositories, along with IDE and CI/CD integrations
Prioritize fixes with runtime context for both code and library vulnerabilities
Manage and track remediation of findings in one place

*Billed annually or $57.60 on-demand

Multi-Year/Volume discounts available

Features

Static Code Analysis (SAST)

Static SCA

Code Security

Static Features

Integrate security directly into developers’ IDEs for real-time feedback

Find vulnerabilities in your first-party code early by scanning repositories

Integrate into CI/CD pipelines for automated and continuous security ensuring early vulnerability detection in the development process

Scan open source libraries imported into repositories for known vulnerabilities

Suggested Remediation with workflows to appropriate owners

Runtime Code Analysis (IAST)

Runtime SCA

Code Security

Runtime Features

Integrate security directly into developers’ IDEs for real-time feedback

Find vulnerabilities in first party code while your services are running in production

Find vulnerabilities in third party code (open source libraries) while your services are running in production

Suggested Remediation with workflows to appropriate owners

Support Plans & Post Sales Services

From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.

Support plans Services & enablement

Common Questions

What is included in Datadog Code Security?

Datadog Code Security includes four key components; Datadog Static Code Analysis (SAST), Datadog Runtime Code Analysis (IAST), and Datadog Software Composition Analysis (both static SCA and runtime SCA). Learn more here.

How do you define a committer?

A committer means an active Git committer; they are identified through their Git author email address. A committer is counted towards billing if they commit at least 3 times in a given month.

For Runtime SCA and Runtime Code Analysis (IAST) purchased as part of Code Security, how many hosts can I run on?

You can use Runtime SCA and Runtime Code Analysis (IAST) on any host with APM installed.

What counts as a billable Datadog Runtime Code Analysis (IAST) or Runtime SCA host?

Similar to Datadog APM, a Datadog Runtime Code Analysis (IAST) host and a Runtime SCA host are hosts on which Datadog Runtime Code Analysis (IAST) and/or Runtime SCA are enabled and that are actively generating spans that are being submitted to the Datadog SaaS application.

What kind of billing plan do I need to run Datadog Runtime Code Analysis (IAST) and Runtime SCA?

Datadog Runtime Code Analysis (IAST) and Runtime SCA are currently only available to customers of Datadog Application Performance Monitoring (APM).

Does Runtime SCA support AWS Fargate (serverless containers) and how is it charged?

Yes, AWS Fargate is supported by Runtime SCA. If Runtime SCA is purchased standalone, the AWS Fargate add-on must be purchased at $1 per task, or $1.40 on demand.

If Runtime SCA is purchased as part of Code Security, it can run on any AWS Fargate task that has APM installed.

What languages does Datadog Static Code Analysis (SAST) support?

Java, .NET, Javascript, Typescript, Python, Go, PHP, Ruby, Kotlin, and more. Learn more about supported languages in our documentation.

What languages does Datadog Software Composition Analysis support?

Java, .NET, Node.js, Python, Go, PHP, and Ruby. Learn more about supported languages in our documentation.

What languages does Datadog Runtime Code Analysis (IAST) support?

Java, .NET, Node.JS, and Python. Learn more about supported languages in our documentation.

Does Datadog include Static Code Analysis (SAST) and Static SCA in one offering?

Yes, Datadog Code Security includes both Static Code Analysis (SAST) and Static SCA in a single offering, while still allowing each to be purchased separately. This unified approach simplifies code security across the entire Software Development Lifecycle, also incorporating capabilities for identifying vulnerabilities while services are running through its Runtime Code Analysis (IAST) and Runtime SCA components.

Does Datadog include Runtime Code Analysis (IAST) and Runtime SCA in one offering?

Yes, Datadog Code Security includes both Runtime Code Analysis (IAST) and Runtime SCA in a single offering, while still allowing each to be purchased separately. This unified approach simplifies code security across the entire Software Development Lifecycle, also incorporating capabilities for scanning source code repositories through its SAST and Static SCA components.

How does Datadog Runtime Code Analysis (IAST) work?

Datadog Runtime Code Analysis (IAST) uses instrumentation to analyze applications in their running state, monitoring requests and their interactions with each internal layer—operating similarly to Application Performance Monitoring (APM). This instrumentation-based approach is called Interactive Application Security Testing (IAST), which identifies code-level vulnerabilities in applications based solely on application traffic, and does not require any scans or security tests, ensuring that vulnerabilities are identified and addressed as the application runs. Learn more about Datadog Runtime Code Analysis (IAST) in our documentation.

How does Datadog Runtime SCA work?

When an APM-instrumented service starts, the tracer collects the list of libraries that the application is actively loading and reports the list of vulnerabilities associated with those libraries. Learn more about Runtime SCA in our documentation.

Are Static Code Analysis (SAST), Runtime Code Analysis (IAST) and Software Composition Analysis (Runtime and Static SCA) available in all regions?

Yes, with the exception of the US1-Fed region.

Ship quickly and confidently with developer self-service, delivery guardrails, and live system data

Features

Standard

Premium

Support Plans & Post Sales Services

See inside any stack, any app, at any scale, anywhere

Features

Free

Pro

Enterprise

Support Plans & Post Sales Services

Improve the performance of your cloud-scaleapplications end to end, down to a single line of code

Features

APM

APM Pro

APM Enterprise

Support Plans & Post Sales Services

Analyze and explore log data in context with flexible retention

Features

Support Plans & Post Sales Services

Automate alert investigations with agentic AI

Support Plans & Post Sales Services

Monitor, Improve, Evaluate, and Secure Your LLM Applications

Features

Support Plans & Post Sales Services

Runtime Security Posture, File Integrity Monitoring, Threat Detection, and Malware Protection for all your workloads

Support Plans & Post Sales Services

Monitor the health and performance of your CI pipelines

Features

Support Plans & Post Sales Services

Fast, codeless, and reliable testing that helps you ship features with confidence

Features

Support Plans & Post Sales Services

Monitor, debug, and accelerate every test suite across your entire CI environment

Features

Support Plans & Post Sales Services

Custom apps that integrate in your monitoring stack to accelerate remediation tasks and reduce errors

Features

Support Plans & Post Sales Services

Manage alerts and incidents alongside rich, contextual observability data

Features

On-Call Standalone

Incident Management Standalone

Incident Response Bundle

Support Plans & Post Sales Services

Transform alert fatigue into actionable insights and accelerate remediation with automated event correlation

Features

Support Plans & Post Sales Services

Automate processes to go from monitoring to taking action

Features

Support Plans & Post Sales Services

Group and triage error events across web, mobile, and backend applications

Features

Support Plans & Post Sales Services

Deep visibility into product usage, user adoption, retention, and segmentation

Support Plans & Post Sales Services

Measure the end-to-end experience of web and mobile applications from your users’ perspective

Features

Support Plans & Post Sales Services

API, Browser and Mobile App Tests for proactive, end-to-end visibility

Features

Support Plans & Post Sales Services

Unify network visibility across your clouds, applications, and devices

Features

Support Plans & Post Sales Services

Discover, classify, and redact your sensitive datain real time at any scale

Features

Support Plans & Post Sales Services

Automatically discover, map, and monitor all your services—without changing code

Features

Support Plans & Post Sales Services

Detect security threats with a real-time detection engine and built-in threat intelligence; conduct investigations and threat hunts across 15-months of security data.

Features

Support Plans & Post Sales Services

Detect and resolve performance issues in your serverless apps

Features

Serverless Function Pricing Example

Support Plans & Post Sales Services

Maintain compliance, enforce platform governance, and build transparency

Features

Improve the performance of your cloud-scale
applications end to end, down to a single line of code

Discover, classify, and redact your sensitive data
in real time at any scale

Track and improve the performance of your
streaming data pipelines from end to end