$15
Per host, per month*
Centralize your monitoring of systems and services
*Billed annually or $18 on-demand
SEE DETAILS$1.27
Per million log events, per month*
Analyze and explore log data in context with flexible retention
*Billed annually or $1.91 on-demand
SEE DETAILS$31
Per host, per month*
End-to-end distributed tracing with no sampling
*Billed annually or $36 on-demand
SEE DETAILS$5
Per function, per month*
Monitor, detect, and resolve bottlenecks and errors
*Billed annually or $7.20 on-demand
SEE DETAILS$0.20
Per GB of analyzed logs, per month*
Detect and investigate security threats in real time
*Billed annually or $0.30 on-demand
SEE DETAILS$5
Per host, per month*
Monitor devices and traffic flows for complete network visibility
*Billed annually or $7.20 on-demand
SEE DETAILS$15
Per 10k sessions, per month*
Measure end-to-end user experience on web and mobile applications
*Billed annually or $18 on-demand
SEE DETAILS$5
Per 10k test runs, per month*
API and Browser Tests for proactive, end-to-end visibility
*Billed annually or $7.20 on-demand
SEE DETAILS$12
Per host, per month*
Optimize code performance in production
*Billed annually or $18 on-demand
SEE DETAILSVolume discounts available. Contact us.
$0
Core collection and visualization features
$15
Per host, per month*
Centralize your monitoring of systems, services, and serverless functions
$23
Per host, per month*
Advanced features and administrative controls
$0
Per host, per month*
Core collection and visualization features
$15
Per host, per month*
Centralize your monitoring of systems, services, and serverless functions
$23
Per host, per month*
Advanced features and administrative controls
ADD-ONS
Service and Support
Volume discounts available (500+ hosts/mo). Contact us.
Starting at
$0.10
Per ingested or scanned GB, per month*
Ingest, process, live tail, and archive all logs
7-Day Retention
$1.27
Per million log events, per month*
Retain logs based on their value and rehydrate from archives on-demand
Extended retention plans and volume discounts available (1BN+ events/mo). Contact us.
$31
Per host, per month*
End-to-end distributed tracing with no sampling
Volume discounts available (500+ hosts/mo). Contact us.
$5
Per function, per month*
Monitor, detect, and resolve bottlenecks and errors
$0.20
Per GB of analyzed logs, per month*
Detect and investigate security threats in real time
$5
Per host, per month*
Understand network traffic patterns and search with tags
$7
Per device, per month*
Monitor the health and performance of on-premise network devices
Volume discounts available (500+ hosts/mo). Contact us.
$15
Per 10k sessions, per month*
Understand your real users experience with web and mobile applications
Volume discounts available. Contact us.
$5
Per ten thousand test runs, per month*
Proactively monitor site availability
$12
Per thousand test runs, per month*
Easily monitor critical user journeys
Volume discounts available. Contact us.
$12
Per host, per month*
Analyze code-level performance, increase efficiency, and reduce cloud provider costs
A host is any physical or virtual OS instance that you monitor with Datadog.
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.
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.
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.
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.
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.
We’re always looking to partner with technology and service providers and resellers. See our Partners page for more.
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.
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.
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.
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.
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.
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.
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.
To identify active functions, Datadog counts the number of functions that run one or more times every hour, and averages this at the end of the month. For a detailed explanation, please see the Serverless billing docs.
You can send custom metrics using the Datadog Lambda Layers and open-source packages.
Python, Node.js, Go, Ruby, Java, and .NET
AWS service logs are collected with the Datadog Forwarder Lambda function.
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.
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.
