Datadog vs Grafana
Grafana is the leading open-source path off Datadog — but it's a "build," not a "buy." You trade Datadog's turnkey, tightly-integrated suite for an open stack you assemble and control. Here's exactly when that trade pays off.
The short version
If your reason for leaving Datadog is cost, lock-in, or a preference for open standards, Grafana is the natural move. Grafana Cloud packages the open-source LGTM stack — Loki (logs), Grafana (dashboards), Tempo (traces) and Mimir/Prometheus (metrics) — as a managed service, with a genuinely generous free tier. If you want a single vendor to own everything end-to-end with zero assembly, Datadog is still the smoother experience.
How they compare
| Datadog | Grafana | |
|---|---|---|
| Model | Turnkey proprietary suite | Open-source stack (LGTM) |
| License | Proprietary SaaS | AGPL open source + Cloud |
| Free tier | 5 hosts, 1-day retention | 10k series, 50GB logs, 50GB traces, 3 users |
| Self-host | No | Yes (or Grafana Cloud) |
| Pricing | Per-host + per-module | $19/mo + usage ($6.50/1k series, ~$0.45/GB) |
| OpenTelemetry | Ingests (custom-metric billing) | Native, no OTel penalty |
| Integrations | 800+, deepest catalog | Large, community-driven |
| Setup effort | Low (turnkey) | Higher (assemble the stack) |
When Grafana wins
- You want to escape per-host + per-module billing — Grafana's usage model and free tier are dramatically cheaper for most teams.
- You've standardised on OpenTelemetry and don't want to pay Datadog's custom-metric tax.
- You want to self-host or keep data in-house, or avoid vendor lock-in with open components.
When to stay on Datadog
- You want one vendor, one bill, zero assembly — Datadog is a single integrated product, not four components.
- You lean on its breadth — RUM, synthetics, security, database and network monitoring, LLM observability — in one pane.
- Your team would rather not operate Loki/Tempo/Mimir or tune retention, even via Grafana Cloud.
Migration effort
Moderate. If you already emit OpenTelemetry, pointing your OTLP exporter at Grafana Cloud is quick; otherwise you swap the Datadog agent for the Grafana Alloy / OTel collector. Historical telemetry doesn't transfer, so rebuild dashboards and alerts and run both in parallel for one release cycle before cutting over. Wire the cutover into your pipeline so each deploy tags a release automatically — for example with Buddy's Datadog action (or the equivalent annotation API on your new stack).