Datadog features: tier-by-tier list (2026)
Datadog pricing depends on product mix: infrastructure hosts, logs, APM, synthetics, RUM, security, and retention can all contribute.
Core capabilities (88)
See across systems, apps, and services
With turn-key integrations, Datadog seamlessly aggregates metrics and events across the full devops stack.
Source · core integrations
Analyze and explore log data in context
Quickly search, filter, and analyze your logs for troubleshooting and open-ended exploration of your data.
Source · core
Correlate frontend performance with business impact
Prioritize business and engineering decisions with user experience metrics. Visualize load times, frontend errors, and resources for every user session Slice and dice data using custom attributes Troubleshoot quickly with frontend, backend and business metrics
Source · core
Get alerted on critical issues
Datadog notifies you of performance problems, whether they affect a single host or a massive cluster.
Source · core
Get complete visibility across all your environments with
Get complete visibility across all your environments with Datadog Network Monitoring.
Source · core
Capture events and metrics from your own applications
Capture events and metrics from your own applications using our client libraries
Source · core
Company growth
[ edit ] In 2015, Datadog opened a research and development office in Paris. [ 6 ] Datadog at Google Cloud Summit In 2016, Datadog moved its New York City headquarters to a full floor of the New York Times Building to support its growing team, which do
Source · core
Technology
[ edit ] Datadog high-level architecture Datadog uses a Go -based agent, rewritten from scratch since its major version 6.0.0 released on February 28, 2018.
Source · core
In 2016, Datadog moved its New York City
In 2016, Datadog moved its New York City headquarters to a full floor of the New York Times Building to support its growing team, which doubled over the course of the year.
Source · core
As of 2024, the company had approximately 6,500
As of 2024, the company had approximately 6,500 employees in 33 countries, with offices in New York, Boston, Denver, San Francisco, Paris, Dublin, Amsterdam, Sydney, Tokyo, and Singapore.
Source · core
Prior to Datadog's initial public offering (IPO) in
Prior to Datadog's initial public offering (IPO) in September 2019, the company was offered over $7 billion to be acquired by Cisco , but rejected it in favor of going public.
Source · core
Datadog uses a Go -based agent, rewritten from
Datadog uses a Go -based agent, rewritten from scratch since its major version 6.0.0 released on February 28, 2018. It was formerly Python -based, forked from the original created in 2009 by David Mytton for Server Density (previously called Boxed Ice).
Source · core
In 2014, Datadog support was broadened to multiple
In 2014, Datadog support was broadened to multiple cloud service providers including Amazon Web Services (AWS), Microsoft Azure , Google Cloud Platform , and Red Hat OpenShift .
Source · core
Support Plans & Post Sales Services
From basic plans to bespoke offerings, Datadog offers the right level of support & services for any organization.
Source · core
See inside any stack, any app, at any scale, anywhere
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Source · core
Datadog for Startups
Stay lean while you grow. Get one year of free Datadog Pro. Apply now . { const selectContainer = document.querySelector('.select-container'); const activePlan = document.querySelector('.content-section.active'); const commonQuestions = activePlan.querySelecto
Source · core
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
Source · core
*Per GB of uncompressed data ingested for processing
*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating. **Billed annually or $ 0.10 on-demand
Source · core
*Minimum retention of 1 month up to 15
*Minimum retention of 1 month up to 15 months **Billed annually or $ 0.075 on-demand
Source · core
*Minimum retention of 3 months, options for 6
*Minimum retention of 3 months, options for 6, 12, and 15 months **Billed annually or $ 0.90 on-demand
Source · core
The retention period is the number of days
The retention period is the number of days your logs are searchable and analyzable.
Source · core
Logs removed from your index(es) do not have
Logs removed from your index(es) do not have to be gone forever! Check out our Log Archives for long-term storage options.
Source · core
Log events come in all shapes and sizes
Log events come in all shapes and sizes, which is precisely why we offer event-based pricing!
Source · core
By committing to a monthly 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.
Source · core
In those cases where you have a big month, not to worry
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.
Source · core
Volume discounts available
Volume discounts available. Contact us or reach out to your Sales or Customer Success rep for more details.
Source · core
Feature Flags pricing is based on your monthly
Feature Flags pricing is based on your monthly volume of flag configuration requests. Usage below 1 million monthly flag configuration requests is included at no cost.
Source · core
Includes all features in Infrastructure Enterprise and Cloud
Includes all features in Infrastructure Enterprise and Cloud Security Management (CSM) Enterprise
Source · core
Resolve issues faster with end-to-end distributed traces and
Resolve issues faster with end-to-end distributed traces and service health metrics
Source · core
Note: The allotted 150GB per host is summed
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.
Source · core
If you need longer retention, please reach out
If you need longer retention, please reach out to your Customer Success or Sales rep to customize your plan.
Source · core
Note 1: The allotted 1 million Indexed Spans
Note 1: The allotted 1 million Indexed Spans per host is summed across all your APM hosts.
Source · core
Note 2: Indexed Spans that are auto-retained by
Note 2: Indexed Spans that are auto-retained by Datadog do not count towards the 1 million Indexed Spans that are allotted per host.
Source · core
On-demand use of APM is counted on an hourly basis
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.
Source · core
For additional volume, in a given hour, customers
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.
Source · core
Datadog for Startups Stay lean while you grow
Datadog for Startups Stay lean while you grow. Get one year of free Datadog Pro.
Source · core
Every tier includes the full agent engineering platform
Every tier includes the full agent engineering platform from day one, including tracing, evaluations, playground, datasets, experiments, annotations, dashboards, and CLI and MCP access. Extended data retention is available.
Source · core dashboard
Trace data is retained for 15 days by
Trace data is retained for 15 days by default, and trace metrics are retained for 15 months.
Source · core
*Billed annually or $ 18 on-demand **Additional containers
*Billed annually or $ 18 on-demand **Additional containers billed at $ 0.002 / hr per container
Source · core
Run multiple tests at the same time across
Run multiple tests at the same time across your test environments to expedite release cycles and reduce test durations
Source · core
Analyze tests across your pipelines in the Synthetic
Analyze tests across your pipelines in the Synthetic Monitoring & Continuous Testing Explorer and search using facets on test durations, commit author, pipeline, and more
Source · core
Datadog Continuous Testing is a comprehensive toolkit in
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
Source · core integrations
For example, 1 Parallel Testing additional speed offers
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.
Source · core
For example, if you want to run 100
For example, if you want to run 100 tests in a CI pipeline and each test takes 10 seconds to run:
Source · core
Parallel tests are tests that run simultaneously in
Parallel tests are tests that run simultaneously in your continuous integration and delivery pipelines to ensure that you can:
Source · core integrations
As an example, if you needed to run
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.
Source · core
Build apps using a low code drag-and-drop interface
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
Source · core
A Seat is a license for a user
A Seat is a license for a user to actively participate in the on-call or incident management process in Datadog.
Source · core
*Error Tracking is included for APM traces and
*Error Tracking is included for APM traces and RUM events at no additional cost. **Billed annually or $ 36 on-demand
Source · core
Error Tracking is billed according to your monthly
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.
Source · core
Understand user behavior across the entire journey with
Understand user behavior across the entire journey with funnels, segments, and pathway diagrams.
Source · core
Boost adoption and revenue by identifying golden paths
Boost adoption and revenue by identifying golden paths and key conversion drivers.
Source · core
Visualize the full user journey across web and
Visualize the full user journey across web and mobile to identify drop-off points, optimize flows, and drive conversion.
Source · core
Uncover UX opportunities by combining session replays with
Uncover UX opportunities by combining session replays with heatmaps to visualize engagement and behavior.
Source · core
Collaborate with full context by linking replays to
Collaborate with full context by linking replays to funnels, retention, and product metrics for faster, aligned decision-making.
Source · core
*Average over the 5 minute interval of active
*Average over the 5 minute interval of active application instances **Billed annually or $ 9 on-demand
Source · core
*Average of the hourly number of active step
*Average of the hourly number of active step functions **Billed annually or $ 7.20 on-demand
Source · core
*Triggered by active workflows. 1 step function state
*Triggered by active workflows. 1 step function state transition is equivalent to 1 step function span. **Billed annually or $ 15 on-demand
Source · core automation
*Triggered by active functions. 1 traced lambda invocation
*Triggered by active functions. 1 traced lambda invocation is equivalent to 1 top level span. **Billed annually or $ 15 on-demand
Source · core
*denominator for normal month would be the number
*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.
Source · core
Azure Functions can run on different platforms depending
Azure Functions can run on different platforms depending on how they re deployed, including App Service Plans, Consumption Plans, Premium Plans, or inside Azure Container Apps.
Source · core
Monitor the availability and performance of your application
Monitor the availability and performance of your application across user sessions
Source · core
Enhance RUM with video-like replays to see user
Enhance RUM with video-like replays to see user issues firsthand across web and mobile
Source · core
Yes—RUM Measure and RUM Investigate are designed to
Yes—RUM Measure and RUM Investigate are designed to work together to give you full visibility and cost control.
Source · core
Note: if you plan on collecting both Sessions
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.
Source · core
* Sampling must be disabled to obfuscate sensitive
* Sampling must be disabled to obfuscate sensitive data **Billed annually or $ 0.045 on-demand
Source · core
A database host is any physical or virtual
A database host is any physical or virtual instance hosting your database on a server that you monitor with Datadog.
Source · core
Note: Azure SQL Database deploys a database in
Note: Azure SQL Database deploys a database in an isolated network; each database is treated as a single host.
Source · core
Billed per GB of uncompressed data ingested **Billed
Billed per GB of uncompressed data ingested **Billed annually or $ 0.12 on-demand
Source · core
Per vCPU pricing, recommended for volumes above 30TB/month
Per vCPU pricing, recommended for volumes above 30TB/month, is also available*** *** Billed annually per vCPU allocated to Observability Pipelines Worker
Source · core
This is suited for organizations with volumes below
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.
Source · core
However, your bill will increase at a linear
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.
Source · core
Even if you re paying based on ingested
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.
Source · core
*No minimum scan size
*No minimum scan size. No scan limits. Customers are billed proportionally to scan volume.
Source · core
Data Observability: Jobs Monitoring for Clusters is billed
Data Observability: Jobs Monitoring for Clusters 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.
Source · core
Example : Suppose we observe: 1:00-1:05 pm: 100
Example : Suppose we observe: 1:00-1:05 pm: 100 unique hosts 1:05-1:10 pm: 300 unique hosts 1:10-1:15 pm: 150 unique hosts 1:15-1:20 pm: 50 unique hosts 1:20-2:00 pm (last 8 intervals): 0 unique hosts
Source · core
The sum of unique host counts in each
The sum of unique host counts in each five-minute interval for the hour is 100 + 300 + 150 + 50 = 600.
Source · core
Assume we see this usage pattern once a day for 30 days
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 Data Observability Job Host Hours.
Source · core
Data Observability: Jobs Monitoring is billed per job
Data Observability: Jobs Monitoring is billed per job, per hour for both Serverless and Orchestrators (charged separately).
Source · core
Example : Suppose we observe: Job 1, Run
Example : Suppose we observe: Job 1, Run 1 duration: 3.4 hours Job 2, Run 2 duration: 0.1 hours Job 1, Run 2 duration: 5 hours Job 2, Run 2 duration: 0.15 hours Job 2, Run 3 duration: 0.25 hours
Source · core
The sum of the hours for all the
The sum of the hours for all the runs is 3.4 + 0.1 + 5 + 0.15 + 0.25 = 8.9. We round to the next full hour making the usage for the month 9 Data Observability Job Hours.
Source · core
Hosts where Jobs Monitoring is enabled do not
Hosts where Jobs Monitoring is enabled do not require Infrastructure Monitoring and are not billed as Infrastructure hosts, except in the case of Spark on Kubernetes (K8s).
Source · core
For Spark on Kubernetes (K8s), any node running
For Spark on Kubernetes (K8s), any node running the Datadog agent is counted as an Infrastructure host, but only nodes where Spark jobs are actively running count toward Data Observability Job Host Hours.
Source · core
Automatically generate a Software Bill of Materials (SBOM)
Automatically generate a Software Bill of Materials (SBOM) to maintain visibility into all open-source dependencies
Source · core
Quickly find the source of any vulnerability with
Quickly find the source of any vulnerability with code snippets and speed up the remediation process
Source · core
Secure and maintain custom code and open source
Secure and maintain custom code and open source libraries in your repositories, along with IDE and CI/CD integrations
Source · core integrations
Yes, AWS Fargate is supported by Runtime SCA
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.
Source · core
If Runtime SCA is purchased as part of
If Runtime SCA is purchased as part of Code Security, it can run on any AWS Fargate task that has APM installed.
Source · core
AI features (5)
Proactively monitor your user experience
End-to-end user experience visibility in a single platform. Monitor critical user journeys captured with an easy-to-use web recorder Save engineering resources with AI-powered, self-maintaining tests Detect and alert on performance issues for users in various
Source · ai
Unlimited context for unlimited ambition
Only pay based on the volume of LLM spans, even as context grows, reasoning gets heavier, and agents use more tools. How we price Per LLM spans only — not tool spans, workflow spans, or retrieval spans. You pay for calls to the model, nothing else.
Source · ai automation
Per LLM spans only — not tool spans
Per LLM spans only — not tool spans, workflow spans, or retrieval spans. You pay for calls to the model, nothing else.
Source · ai automation
You pay for the actual AI work, not
You pay for the actual AI work, not every surrounding step in the workflow. That makes pricing simpler to forecast as agents grow more complex and context windows expand.
Source · ai automation
The Free tier includes up to 40K LLM
The Free tier includes up to 40K LLM spans per month with 15-day retention, unlimited context, and unlimited evaluations — no credit card required.
Source · ai
Integrations (5)
Instrument your apps, write new integrations
Datadog includes full API access to bring observability to all your apps and infrastructure.
Source · integrations api
Running tests in your CI/CD pipelines today is
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).
Source · integrations api
Note: In both cases, your 100 test runs
Note: In both cases, your 100 test runs will contribute to your API or Browser Testing test run quotas.
Source · integrations api
HTTP, SSL, DNS, TCP, and ICMP all fall
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.
Source · integrations api
The Wireless AP SKU is focused on wireless
The Wireless AP SKU is focused on wireless APs that support OOTB API integrations built by NDM, such as Cisco Meraki.
Source · integrations api
Collaboration (8)
Build real-time interactive dashboards
More than summary dashboards, Datadog offers all high-resolution metrics and events for manipulation and graphing.
Source · collab real-time dashboard
Share what you saw, write what you did
System events and metrics are only part of the story. Datadog is built to give visibility across teams.
Source · collab
Decouple deployment from release to safely control when
Decouple deployment from release to safely control when and how changes reach users
Source · collab
Target specific user and service cohorts to control
Target specific user and service cohorts to control exposure by environment or traffic segment
Source · collab
Gain instant visibility into release impact by correlating
Gain instant visibility into release impact by correlating feature flags with service health
Source · collab
*Pricing is based on usage per 1 million
*Pricing is based on usage per 1 million Monthly Flag Configuration Requests (MFCRs).
Source · collab
For every host hour, customers get an hourly
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.
Source · collab
Find vulnerabilities in open source libraries and their
Find vulnerabilities in open source libraries and their dependencies in production in real-time
Source · collab real-time
Reporting and analytics (5)
Get full visibility into modern applications
Monitor, troubleshoot, and optimize application performance. Trace requests from end to end across distributed systems Track app performance with auto-generated service overviews Graph and alert on error rates or latency percentiles (p95, p99, etc.) Instrument
Source · reporting
Datadog, Inc. is an American company that provides
Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS -based data analytics platform.
Source · reporting
Customers using Test Optimization or Code Security receive
Customers using Test Optimization or Code Security receive one Code Coverage committer for every billed committer of those products, at no additional cost
Source · reporting
Multiple preconfigured compute options to suit your search
Multiple preconfigured compute options to suit your search and analytics workloads
Source · reporting
Track long-term trends with data retention starting at
Track long-term trends with data retention starting at 15 months to assess the lasting impact of product changes.
Source · reporting
Security and compliance (1)
Get full visibility into user access and platform
Get full visibility into user access and platform changes across all services, empowering DevOps and compliance teams with context-rich insights.
Source · security
Administration (3)
Common Questions
How is Code Coverage priced? Code Coverage is priced per committer, per month, based on the maximum number of active committers during the billing period. Do I need to pay separately if I already use Test Optimization or Code Security?
Source · admin
This means that ingested and indexed span use
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.
Source · admin
For more information on how seats are assigned
For more information on how seats are assigned, claimed, and billed , see the Incident Response billing documentation .
Source · admin
See Datadog pricing in detail
This page lists what Datadog does. For per-seat math, tier comparison, and the full hidden-fee list, see the Datadog pricing breakdown.
Closest alternatives
Other observability tools buyers shortlist when they evaluate Datadog.
Sources
- https://www.datadoghq.com/product
- https://en.wikipedia.org/wiki/Datadog
- https://www.datadoghq.com/pricing/
Features evolve. Confirm directly with the vendor before purchase decisions. This list was last refreshed on 2026-05-27.
Frequently asked questions
What features does Datadog include?
This page tracks 115 verified Datadog features across 7 categories, sourced from Datadog's official site and Wikipedia.
Which tier do I need for Datadog?
Datadog's feature availability varies by plan. Compare the public Datadog tiers, calculator, and hidden fees on the Datadog pricing page.
How does Datadog compare on features to alternatives?
Buyers commonly compare Datadog against New Relic, Grafana Cloud, Honeycomb. Each alternative's feature page is linked below where we cover it.