Comparison
Prometheus vs Datadog
Prometheus is an open source metrics system you operate yourself. Datadog is a commercial SaaS observability platform that covers metrics, logs, traces and alerts.
| Aspect | Prometheus | Datadog |
|---|---|---|
| Type | Open source project, part of CNCF | Commercial SaaS |
| Data collection | Pull: Prometheus scrapes /metrics endpoints | An agent on the host pushes data to Datadog |
| Scope | Metrics and alerts, logs and traces need other tools (Loki, Jaeger, Tempo) | Metrics, logs, traces, APM, RUM and security in one platform |
| Query language | PromQL, powerful and well established | Its own query language and dashboard UI |
| Visualization | Usually paired with Grafana | Built-in dashboards |
| Operations | You manage storage, scaling, long-term retention (Thanos, Mimir) | Vendor managed, minimal administration |
| Cost | Free software, you pay for infrastructure and team time | Priced per host and data volume, the bill grows quickly with custom metrics and logs |
| Best for | Kubernetes and teams ready to run their own stack | Teams that want a ready platform with no administration |
Choose Prometheus when
- Data control and avoiding vendor lock-in matter.
- You work in Kubernetes where Prometheus is the standard.
- You have a team ready to operate a metrics stack.
Choose Datadog when
- You need a full observability suite without assembling parts.
- You have few people for operations but a SaaS budget.
- You want a quick start and ready integrations.
Bottom line
Prometheus with Grafana is a powerful, cheap metrics stack if you have time to operate it. Datadog saves that time, but the bill can become significant. Many teams start with Prometheus and move when the team outgrows it.
Compared
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