Monitoring and observability

Datadog vs Prometheus

Datadog is a hosted service; Prometheus has 2 supported release lines. Prometheus 3.15 reaches end of life on Nov 6, 2026. Datadog is a proprietary service; Prometheus is open source (Apache-2.0). OSV.dev lists 1 advisory from the last 12 months for Datadog’s dd-trace and 4 for Prometheus.

Last checked against Datadog Status, npm, deps.dev, OSV.dev, CISA KEV and endoflife.date.

Side by side

Every value links to its source. Where a row doesn’t apply to one of them, the cell says why.

Support and releases
DatadogPrometheus
Supported release lines

Hosted service: no versions to upgrade

2 lines: 3.15, 3.13 LTS

Next to end: 3.15 on Nov 6, 2026

endoflife.date

Latest release

6.21.0

Node.js tracer dd-trace, Oct 14, 2026

npm

3.15.0

Released Sep 25, 2026

endoflife.date

Releases in the last 12 months

85 releases

Node.js tracer dd-trace

npm

24 releases

prometheus/prometheus, Go module

the Go module proxy

Security
DatadogPrometheus
Advisories published in the last 12 months

1, worst rated high

For dd-trace

OSV.dev

4, worst rated high

For prometheus/prometheus

OSV.dev

OpenSSF Scorecard

6 / 10

DataDog/dd-trace-js, Aug 24, 2026

Scorecard

8.5 / 10

prometheus/prometheus, Aug 24, 2026

Scorecard

Status and incidents
DatadogPrometheus
Status now

Operational

Status page

Self-hosted: no vendor status page

Incidents in the last 90 days

11, 1 major

Most recent: Delayed Events (Sep 30, 2026)

History

Self-hosted: no vendor status page

Licence and hosting
DatadogPrometheus
Licence

Proprietary service

Not open source

SDK (dd-trace): Apache-2.0 OR BSD-3-Clause.

Apache-2.0

Open source (permissive)

deps.dev

How you run it

Managed by Datadog; you run its agent and tracers

Self-hosted, or managed Prometheus-compatible services (Amazon Managed Service for Prometheus, Grafana Cloud)

Adoption
DatadogPrometheus
npm downloads last week

10.2M

dd-trace

npm

Not an npm package

GitHub stars

Hosted service: no public repository

66.5K

prometheus/prometheus

GitHub

  • Advisory counts cover every version, old ones included, and a heavily used, well-audited project often has more. Check the versions you run with the dependency check.
  • Incident history is context, not a ranking: every vendor has incidents, and vendors post them at different thresholds.

Which fits your constraints

Read across for what matters to you. Each answer comes from the data above or the project’s licence and hosting options.

How Datadog and Prometheus fit common constraints
DatadogPrometheus
An open-source licence

No: Proprietary service

Yes: Apache-2.0

Someone else runs it for you

Yes: From Datadog

Yes: From Amazon Managed Service for Prometheus and Grafana Cloud

You can run it on your own servers

No: Hosted only

Yes: Yes, it’s software you install

A long support window

Hosted: nothing to upgrade

3.13 LTS is supported until Jul 31, 2027

A public incident history

Yes: Status page with 90-day history

No: Self-hosted: it’s your uptime

What each is good at

Datadog

Comprehensive monitoring and analytics platform

Strengths

  • All-in-one platform (metrics, logs, traces)
  • Beautiful dashboards
  • Extensive integrations (400+)
  • Powerful alerting and anomaly detection

Trade-offs

  • Vendor lock-in
  • Requires agent installation

Common uses

  • Full-stack monitoring
  • APM
  • Log management
  • Security monitoring

Prometheus

Open-source monitoring and alerting toolkit

Strengths

  • Free and open-source
  • Powerful query language (PromQL)
  • Pull-based metrics collection
  • Kubernetes-native integration

Trade-offs

  • Requires self-hosting and management
  • No long-term storage by default
  • Limited built-in visualization
  • Steep learning curve for PromQL

Common uses

  • Kubernetes monitoring
  • Infrastructure metrics
  • Custom application metrics

From StackPrism’s curated notes. Pricing isn’t covered here: it changes often, so check each vendor’s pricing page.

When teams weigh these two

Prometheus is an open-source metrics system you run yourself, usually paired with Grafana for dashboards; Datadog is a hosted platform that collects metrics, logs and traces through its agent. The trade-off is running and scaling your own monitoring versus having a vendor run it.

How this comparison works

Release lines and end-of-life dates come from endoflife.date, release counts from deps.dev’s publish dates, and advisories from OSV.dev, counted once per flaw even when it’s listed under several ids, and checked against CISA’s list of vulnerabilities known to be exploited. Status and incident history come from each vendor’s public status feed; licences from each project’s licence file or the vendor’s licensing page, linked in the table.

The data refreshes every few hours and the time it was checked is shown above. There’s no pricing and no overall winner: which one fits depends on your constraints. To see how the versions you actually run hold up, check your repo.

Already using one of them?

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