Pricing | Datadog

Infrastructure

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

Free

^$ 0

Core collection and visualization features

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Features

Events and Standard Metrics
Out-of-the-Box Dashboards
400+ Integrations
Host and Container Maps
Enterprise-Grade Security
Unlimited User Accounts
Full-Resolution Data Retention

Service and Support

Community Forum and Online Docs
Product Training Videos

Pro

^$ 15

Per host, per month*

Centralize your monitoring of systems, services, and serverless functions

See all features See less features

Features

Events and Standard Metrics
Out-of-the-Box Dashboards
400+ Integrations
Host and Container Maps
Enterprise-Grade Security
Unlimited User Accounts
Full-Resolution Data Retention
Alerts
Container Monitoring
Custom Metrics
Single Sign-On with SAML
Outlier Detection

Add ons

AWS Fargate (serverless containers)
IoT Device Monitoring

Service and Support

Community Forum and Online Docs
Product Training Videos
Technical Support

*Billed annually or $18 on-demand

Enterprise

^$ 23

Per host, per month*

Advanced features and administrative controls

See all features See less features

Features

Events and Standard Metrics
Out-of-the-Box Dashboards
400+ Integrations
Host and Container Maps
Enterprise-Grade Security
Unlimited User Accounts
Full-Resolution Data Retention
Alerts
Container Monitoring
Custom Metrics
Single Sign-On with SAML
Outlier Detection
Watchdog: Automated insights
Correlations
Anomaly Detection
Forecast Monitoring
Live Processes
Advanced Administrative Tools

Add ons

AWS Fargate (serverless containers)
IoT Device Monitoring

Service and Support

Community Forum and Online Docs
Product Training Videos
Technical Support
Dedicated Success Manager
Onboarding Support

*Billed annually or $27 on-demand 100 host minimum

Volume discounts available (500+ hosts/mo)

Free

^$ 0

Core collection and visualization features

Discussion group supported
1-day metric retention
Up to 5 hosts

Pro

^$ 15

Per host, per month*

Centralize your monitoring of systems, services, and serverless functions

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

*Billed annually or $18 on-demand

Enterprise

^$ 23

Per host, per month*

Advanced features and administrative controls

Machine learning–based alerts
Live Processes
Premium support

*Billed annually or $27 on-demand 100 host minimum

Volume discounts available (500+ hosts/mo)

Features

Free

Pro

Enterprise

Events and Standard Metrics

Up to 5 hosts

Out-of-the-Box Dashboards

400+ Integrations

Host and Container Maps

Enterprise-Grade Security

Unlimited User Accounts

Full-Resolution Data Retention

1 day

15 months

15 months. Customizable.

Alerts

Unlimited

Container Monitoring

10 per host included

20 per host included. Customizable.

Custom Metrics

100 per host included

200 per host included. Customizable.

Single Sign-On with SAML

Outlier Detection

Watchdog: Automated insights

Correlations

Anomaly Detection

Forecast Monitoring

Live Processes

Advanced Administrative Tools

Add ons

AWS Fargate (serverless containers)

$1 per task

IoT Device Monitoring

$5 per device

Service and Support

Community Forum and Online Docs

Product Training Videos

Technical Support

Chat and Email

Chat, Email, and Phone

Dedicated Success Manager

Onboarding Support

Pricing

^$ 0

^$ 15

Per host, per month*

^$ 23

Per host, per month*

Common Questions

How do you define a 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).
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 10 or 20 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 can I send custom metrics and events?: You can send Datadog custom metrics 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.
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.

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, live tail, and archive all logs

Enrich and structure log data
Parse on ingestion
Generate log-based metrics
Self-hosted archives, with the option to rehydrate
Dynamic index routing

*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating.

Retain or Rehydrate

^$ 1.70

Per million log events per month*

Retain logs based on their value and rehydrate from archives on-demand

Define log retention based on tags or facets
Simplified pricing based on retention for better cost control
Log patterns and analytics
Log Rehydration™ for audits and historical analysis

*Billed annually or $2.55 on-demand

Extended retention plans and volume discounts available (1BN+ events/mo).

Features

Unlimited Sources
Faceted & Full-text Search
100+ Integrations
Custom Processing & Parsers
Log Analytics and Dashboarding
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 (Chat and Email)
Community Forum and Online Docs

Common Questions

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.

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.

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.

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 and logs from its neighboring containers and from the host itself.

How are log-based metrics billed?

Log-based metrics can either be counted towards your Custom Metrics allocation as outlined in your infrastructure plan or charged on-demand starting at $5/100 metrics.

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.

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.

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.

Can I subscribe to Log Management without using Datadog Infrastructure or APM?

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

Am I billed for ingestion even if I index all of my logs?

The $0.10 per GB for ingesting and processing logs is waived if you index 100% of the logs you send to Datadog. The $0.10 per GB rate always applies to any compressed log data scanned during rehydration.

APM

End-to-end distributed tracing with no sampling

Starting At

^$ 31

Per host, per month*

Correlate traces with metrics, logs, processes, code profiles, and more
15-minute Live Search & Analytics
15-day Historical Search & Analytics
15-month metric retention

*Billed annually or $36 on-demand

Features

Distributed tracing for any app, at any scale
End-to-end tracing and correlations
Service dependency visualizations
Performance metrics of every deploy
Tag any trace with any metadata
Trace Outliers for fast root cause detection
Java, Python, Ruby, Go, Node, .NET, and PHP

Tracing without Limits™ - no sampling, no blindspots
Search and analyze 100% of traces using any tag, live for 15 minutes
Auto-retention of error and latency traces for 15 days
Tag-based Retention Filters for full control over Indexed Spans
Generate metrics from 100% of Ingested Spans (beta)

When Combined with Other Plans

Full stack visibility
Pivot to related metrics, traces, logs, processes, code profiles, network data, synthetic tests, and RUM sessions
Cross-product dashboards and alerts

Includes

Ingestion: 150GB x total number of APM hosts, then $0.10/GB
Retention: 1 million Indexed Spans x total number of APM hosts, then $1.70 per 1 million Indexed Spans with 15-day retention. See Common Questions below for additional retention periods.

Service and Support

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

Common Questions

How does APM work?

We provide comprehensive documentation and encourage you to take a read.

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

APM can be purchased in addition to either Pro or Enterprise plans.

What languages do you support?

Java, Python, Ruby, Go, Node, .NET, and PHP.

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.

Does APM support Serverless computing?

Yes, we support AWS Fargate tasks ($2 per task) and AWS Lambda (see pricing info here).

What is the difference between ingestion and retention?

Ingestion means sending your traces to Datadog. By default, you can now ingest 100% of your traces with no sampling upfront and have them available for Live Search and Analytics for 15 minutes. Retention means storing your most important traces (e.g. error or high latency ones) and making them available for search and analysis during a retention period of your choice (15 days by default).

Tracing without Limits™: 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 Search and Analytics at $0.10/GB.

Note: The included 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 included 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 included per host.

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

With an intuitive user interface, you can decide what to send to Datadog as well as which traces to retain and for how long. This way, customers get full control over their tracing data and their network-bandwidth-related costs.

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.

Continuous Profiler

Optimize code performance in production

Starting At

^$ 12

Per host, per month*

Discover bottlenecks in your code
Quick actionable insights with automatic code analysis
4 profiled containers per host included

*Billed annually or $18 on-demand

Features

Designed to be always-on in production
Troubleshoot and optimize bottlenecks in your code to reduce cloud provider costs
Minimal performance overhead
Correlate code profiles with traces
Various profiling types for deeper insights (e.g. CPU, memory, lock, wall time, I/O)

Automatic analysis and actionable insights
Long-term performance metrics and trends
Cutting-edge technologies (e.g. JDK Flight Recorder)
Search profiles using any tag on any dimension
Language support for Java, Go, and Python (more coming soon)

When Combined with Other Plans

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

Service and Support

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

Common Questions

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 here and encourage you to take a read.
How is Continuous Profiler billed?: Continuous Profiler is billed per host, per month. The price includes 4 containers running profiled applications per host. Additional containers will cost only $2 each. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.
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. The same logic applies to profiled containers. For more information visit our Billing FAQ.
Which languages are supported?: Currently supported languages are Java, Go, and Python. Node.js is in public beta and support for profiling in Ruby, PHP and .NET is coming soon.
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 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 Allocation, Lock, Wall Time, Disk IO, and Socket IO profiles. For more information visit our documentation page.

Security Monitoring

Detect and investigate security threats in real time

Starting At

^$ 0.20

Per GB of analyzed logs, per month*

Out-of-the-box and custom detection rules
Threat detection across all ingested data, regardless of retention
Security signals explorer and analytics
15-month retention of security signals

*Billed annually or $0.30 on-demand

Features

Real-time threat detection
Vendor-supported integrations
All ingested data is analyzed
No proprietary query language required
Out-of-the-box rules automatically detect attacks and misconfigurations
Rules mapped to the MITRE ATT&CK® framework

Security analytics and dashboarding
15-month retention of security signals
Unlimited user accounts
Deployment in minutes
Pivot seamlessly to related metrics, traces, and logs during investigations

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

Common Questions

Which logs are analyzed by detection rules?: All ingested logs are analyzed by detection rules. In particular, detection rules analyze logs even if the customer decides not to index them.
What detection rules are available out of the box?: Datadog continuously releases new detection rules, which are automatically enabled for existing customers. To explore default threat 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. Rules that detect potential misconfigurations are aligned to the relevant compliance frameworks and controls.
Can users write their own custom threat detection rules?: Yes, Security Monitoring 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.
Is there an additional cost for writing custom threat detection rules?: No, Security Monitoring 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, Security Monitoring 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

Monitor, detect, and resolve bottlenecks and errors

Starting At

^$ 5

Per million invocations, per month*

Real-time serverless metrics
15-month metric retention
Trace function invocations
Out-of-the-box Service Map
Connect traces across hosts and functions
150k Indexed Spans and 5 custom metrics included

*Billed annually or $7.20 on-demand. See docs for more information

Features

Integrates with Cloudformation, Serverless Framework, SAM, Terraform
Out-of-the-box health dashboards for API Gateway, Step Functions, DynamoDB and more
Search functions and invocations using any tags
Optimize memory and cold starts
Machine learning-based monitors for actionable alerts

Correlate function metrics w/ business KPIs
Track company-wide SLOs with serverless SLIs
App Analytics included to search, filter and troubleshoot errors in requests
Trace requests across any infrastructure
Available for Lambda functions written in Node.js, Python, Java, Go, Ruby, and .NET

When Combined with Other Plans

Pivot seamlessly between function metrics, traces, logs
Ingest, process, live tail and archive all serverless logs

Service and Support

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

Common Questions

How can I send custom metrics w/ serverless functions?: You can send custom metrics using the Datadog Lambda Layers and open-source packages.
What AWS Lambda runtimes do you support?: Python, Node.js, Go, Ruby, Java, and .NET
How can I send my serverless logs to Datadog?: AWS service logs are collected with the Datadog Forwarder Lambda function.
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 70+ AWS services, including Amazon API Gateway, Amazon DynamoDB, AWS AppSync, Amazon SQS, Amazon Kinesis, and AWS Step Functions.

Network Monitoring

Monitor devices and traffic flows for complete network visibility

Network Performance
Monitoring

Starting At

^$ 5

Per host, per month*

Understand network traffic patterns and search with tags

Visualize flows on the network map
Slice-and-dice traffic by host, process, container, service, AZ, and more
6 million flows per host included

*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

Features

Network traffic mapping
Meaningful traffic aggregation
Hybrid, on-premise, and cloud coverage
Hardware and flow data side-by-side

User-defined tagging
Cross-AZ traffic analysis
External traffic tracking
Deployment in minutes

When Combined with Other Plans

Pivot seamlessly to Infrastructure and APM
Automated Infrastructure Tags

Service and Support

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

Common Questions

How do you define a host?: A host is any physical or virtual OS instance that you have installed the agent on and enabled network monitoring for.
How do you define a 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.
How do you bill for flows beyond the included amount?: Datadog offers 6 million flows for every host monitored with network monitoring. This is calculated across your entire account, not on a per-host basis. Beyond this limit, Datadog charges $1.27 / million flows, although it is rare for our customers to exceed the included volume.
Can I run network monitoring with containers?: Yes, Datadog’s network monitoring is designed to work naturally in containerized and dynamic environments. User-defined tags allow you to slice and dice network flows by almost anything, including containers, clusters, pods, and deployments.
Can I subscribe to network monitoring without using Datadog Infrastructure, Log Management, or APM?: Having all your infrastructure, traces, logs, and network monitoring under one roof is something we definitely encourage for comprehensive visibility, but you are able to subscribe separately. Right now, only an Infrastructure Pro or Enterprise plan is required to subscribe to Network monitoring.

Real User Monitoring

Measure end-to-end user experience on web and mobile applications

Starting At

^$ 15

Per 10k sessions, per month*

Identify, troubleshoot and resolve performance issues
Collect and track application errors and crashes with Error Tracking
Automatically link frontend requests to backend APM traces

*Billed annually or $18 on-demand

Features

Lightweight SDK for browser and mobile
Automatically collect user actions (click, scroll, tap) or add custom user actions
OOTB dashboards for performance, errors and resources
Add custom attributes and metrics for business context

Explore RUM data at infinite cardinality
Visualize user activity by geolocation, device, OS and more
Granular control of data collected by SDKs
Performance data down to the page or screen level for every user session

When Combined with Other Plans

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

Service and Support

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

Common Questions

How is a session defined?: A session is a user journey on your web application. It expires after 15 minutes of inactivity. For a detailed explanation of user sessions, please see our docs.
Are mobile and browser sessions counted separately or treated the same?: The same. For example, if you purchase 100k RUM sessions you can use 80k on browser and 20k on mobile, or any proportion adding to 100k.
What data does Datadog’s RUM collect?: We collect all the pages and screens visited by end users along with telemetry that matters: Browser, Mobile.
What languages do you support instrumentation for?: We collect the same data for all web applications. For mobile apps we currently support Android (Java and Kotlin) and iOS (Swift and Objective-C) is in beta.
Can I view logs from the 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 setup for RUM?: Setup steps can be found in our docs: Browser, Mobile.

Synthetic Monitoring

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

API Tests

Starting At

^$ 5

Per ten thousand 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 Tests

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

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 (Chat and Email)
Community Forum and Online Docs

Common Questions

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

API Tests monitor single endpoints or URLs, whereas Browser Tests monitor business transactions or user journeys that may involve multiple steps and pages.

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.

How does the Web Recorder work?

The Web Recorder allows you to record browser tests simply by interacting with a page as an end-user would. Our chrome extension allows you to view your site on one side of the app, and recorded steps on the left. You can rearrange, delete, or add assertions as needed, all through our easy to use interface. This makes it incredible easy for anyone, regardless of technical knowledge, to create and maintain these tests.

What are Self-Maintaining Browser Tests?

Datadog’s Self-Maintaining Browser Tests are AI-powered and intelligently re-identify elements on a page and update themselves even as web pages are changed or evolve over time. This reduces the number of false alarms triggered and time spent updating scripted tests.

Can I import my Selenium Tests into Datadog?

No, we recommend creating your tests in Datadog via the Web Recorder as your scripted tests break or become outdated. Creating tests via the Web Recorder is very intuitive and simple, and takes only a couple minutes.

What counts as an API test run?

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 request 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?

The steps of a test A running as a subtest of a test B are flattened at each test B execution and considered as regular steps of parent test B. If test B has 15 regular steps and includes test A, a subtest with 5 steps, each time test B runs, it goes through 20 steps. One test B execution from one location, one device at one point in time consequently corresponds to one browser test result.

If test A is also running as a standalone test, test A’s steps are also counted toward test A own test result count. Test A has 5 steps, each time test A runs, it goes through 5 steps. One test A execution from one location, one device at one point in time consequently corresponds to one browser test result.

Incident Management

Fully integrated incident management in-app

Starting At

^$ 20

Per user, per month*

Detect, triage, and track incidents with no context-switching
Assess severity and pull in relevant teams and resources
Collaborate directly in-app and across your favorite communication tools
Track incidents across an intuitive timeline and generate postmortems

*Billed annually or $30 on-demand

Features

Declare, manage, and investigate incidents from multiple sources
Pivot from alert to chat room to timeline with no loss of context
Leverage a collaborative workflow with the Datadog Slack App
Integrations with paging and communication tools

Collect data and signals from across the platform
Set up webhooks from monitors and runbooks for autoremediation
Export to Datadog Notebooks and other documentation tools

When Combined with Other Plans

Automatic incident management across the platform
Preserved incident data from any source, start to finish

Service and Support

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

Common Questions

How is a user defined?: Incident Management is billed by counting Monthly Active Users (MAUs). An “active user” is only counted if they contribute comments or signals (graphs, links, etc.) to an incident. Anyone who only opens/closes an incident or simply views the incident are not counted. Additionally, these are not named seats, so you do not need to determine which specific users have access.
What tools does Datadog’s Incident Management integrate with?: Datadog integrates with the Datadog Slack App for incident communication channels to facilitate collaboration and timeline activity. Other communication tools can be linked directly from an incident. Check out our Docs for more information.
How do I declare an incident? Can I include external details?: Incident Management is deeply integrated across the Datadog platform to ensure you can open incidents when you need to from wherever you are. Incidents can be opened from alerts, graphs, logs, APM, Security signals and more. External sources, like customer support tickets, can also be used as signals in an incident by adding them as links. Doing so adds them to the incident timeline and can be used to explain the scope of impact.
Does Datadog have an on-call scheduler?: Datadog integrates with partners like PagerDuty to ensure your on-call team members can be added to incidents and appropriately notified.
Can I use Datadog Incident Management without using other Datadog products?: Datadog Incident Management can be used as a standalone incident management solution for your team, or as a central hub in-app to consolidate the tools and processes you already use.

Plans to fit your scale

Infrastructure

Log Management

APM

Continuous Profiler

Security Monitoring

Serverless

Network Monitoring

Real User Monitoring

Synthetic Monitoring

Incident Management

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

Analyze and explore log data in context with flexible retention

End-to-end distributed tracing with no sampling

Optimize code performance in production

Detect and investigate security threats in real time

Monitor, detect, and resolve bottlenecks and errors

Monitor devices and traffic flows for complete network visibility

Measure end-to-end user experience on web and mobile applications

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

Fully integrated incident management in-app