Grafana vs Datadog Dashboards: When to Pick Which
Both build great dashboards. The choice is about what surrounds them, data sources, ecosystem, lock-in.
What each is best at
Grafana: open-source core; queries 50+ data sources; you bring storage. Strong if you have multiple backends or don’t want lock-in.
Datadog: SaaS; dashboards over their own metrics/logs/traces. Strong if you want one tool that does everything end-to-end.
Cost models compared
- Grafana Cloud: per-user + per-volume. Datadog: per-host + per-volume + per-feature.
- At small scale, Grafana Cloud is often half the price. At large scale, Datadog’s bundled features can win on TCO.
Integration depth
Datadog has 800+ pre-built integrations; deep AWS/GCP/Azure parity.
Grafana has fewer one-click integrations but you can query anything OTel-compatible. The gap is shrinking fast.
When to run both
Many mature teams run both: Datadog for the bundled features they paid for; Grafana for cross-source queries and the dashboards they want to keep when the contract ends.
Not redundant if you scope clearly. Datadog for ‘is the system healthy’; Grafana for ‘why is this metric different.’
Antipatterns
- Single-vendor lock-in for ‘simplicity.’ Cheap until contract renewal.
- Building both in parallel without a clear split. Confused team; wasted spend.
- Picking on screenshot beauty. Both ship beautiful dashboards.
What to do this week
Three moves. (1) Trial the candidate tool against one workload for two weeks. (2) Compare against your current using the four criteria above. (3) Plan the migration only if the trial shows real wins, not theoretical ones.