Datadog logo

Datadog

Unify logs, metrics, and traces from across your distributed infrastructure.

What is Datadog?

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Datadog is a tool in the Performance Monitoring category of a tech stack.

Who uses Datadog?

Companies
1284 companies reportedly use Datadog in their tech stacks, including Airbnb, Facebook, and Shopify.

Developers
6510 developers on StackShare have stated that they use Datadog.

Datadog Integrations

GitHub, Python, Git, Node.js, and Docker are some of the popular tools that integrate with Datadog. Here's a list of all 174 tools that integrate with Datadog.
Pros of Datadog
135
Monitoring for many apps (databases, web servers, etc)
106
Easy setup
86
Powerful ui
82
Powerful integrations
69
Great value
53
Great visualization
45
Events + metrics = clarity
40
Custom metrics
40
Notifications
38
Flexibility
18
Free & paid plans
15
Great customer support
14
Makes my life easier
9
Adapts automatically as i scale up
8
Easy setup and plugins
7
Super easy and powerful
6
AWS support
6
In-context collaboration
5
Rich in features
4
Docker support
4
Cost
3
Automation tools
3
Source control and bug tracking
3
Simple, powerful, great for infra
3
Cute logo
3
Expensive
3
Easy to Analyze
3
Full visibility of applications
3
Monitor almost everything
3
Best than others
2
Good for Startups
2
Free setup
2
Best in the field
1
APM
Decisions about Datadog

Here are some stack decisions, common use cases and reviews by companies and developers who chose Datadog in their tech stack.

We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.

In addition to core Azure services, we will be hosting other components - including MongoDB, Keycloak, PagerDuty, etc. Our applications are largely C# and React-based using frontend for Backend patterns and Azure API gateway. In addition, there are close to 50+ external services integrated using both REST and SOAP.

See more
Greg Smethells
CTO and Software Architect at Medstrat | 2 upvotes 路 1.6K views
Shared insights
on
DatadogDatadogPythonPython
at

Looking for the most straightforward APM tool to use with a Python CRUD stack. We would like to have flame graphs of individual transactions. We'd also like to see SRE tools for monitoring, alerting, and incident response. We are leaning towards Datadog. Thoughts?

See more
Nikola Tokic

I'm considering moving from Flask to Quart, does anyone have some experience with this migration?

I expect possible problems with connexion which we use as OpenAPI specification.

Would be good if someone can point downsides of moving to the Quart framework so I can double-check if my plan is worth doing.

Other libs and tools used in the project: SQLAlchemy, alembic, PostgreSQL, Datadog

cons for now:

  • Refactoring uncertainty (not sure how big of a task is it)
  • Connexion might not work with Quart (moving to another library)
  • ...
See more
Shared insights
on
DatadogDatadogNew RelicNew Relic

We are migrating from New Relic to Datadog... Is there a way I can export all existing alerts in an easy way from New Relic to Datadog?

See more
Dewald Swanepoel
Shared insights
on
DatadogDatadogStatsDStatsD

I see StatsD is commonly used in conjunction with Datadog. In fact, Datadog even has their own StatsD daemon (called DogStatsD) embedded in the DataDog agent. Can someone explain to me what it is that StatsD gives you which you don't already have with Datadog's APM and distributed tracing functionality?

See more
Maurice Ruff

We build everything in AWS around microservices and are looking at Amazon CloudWatch, Datadog, and New Relic. Which one would work best for our situation?

See more

Blog Posts

GitHubPythonGit+22
17
13886
GitHubGitDocker+34
29
41894
GitHubPythonNode.js+26
29
15660
GitHubMySQLSlack+44
109
50467

Jobs that mention Datadog as a desired skillset

See all jobs

Datadog's Features

  • 14-day Free Trial for an unlimited number of hosts
  • 200+ turn-key integrations for data aggregation
  • Clean graphs of StatsD and other integrations
  • Slice and dice graphs and alerts by tags, roles, and more
  • Easy-to-use search for hosts, metrics, and tags
  • Alert notifications via e-mail and PagerDuty
  • Receive alerts on any metric, for a single host or an entire cluster
  • Full API access in more than 15 languages
  • Overlay metrics and events across disparate sources
  • Out-of-the-box and customizable monitoring dashboards
  • Easy way to compute rates, ratios, averages, or integrals
  • Sampling intervals of 10 seconds
  • Mute all alerts with 1 click during upgrades and maintenance
  • Tools for team collaboration

Datadog Alternatives & Comparisons

What are some alternatives to Datadog?
New Relic
The world鈥檚 best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
See all alternatives

Datadog's Followers
7054 developers follow Datadog to keep up with related blogs and decisions.