I don't worry about cost. I don't worry about performance because we really kicked the tires on this - we took it out on the racetrack and ran it around.
Grafana Alternative
OpenObserve vs Grafana
Escape multiple query languages, proprietary lock-in, and unpredictable per-seat billing. Full-stack observability at a fraction of the cost.
Teams cut their Grafana Cloud bill 60%–90%.See your ingest-based pricing →Estimate based on typical OpenObserve customer savings versus per-seat, per-GB Grafana Cloud billing.
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Why teams switch from Grafana
The many reasons that teams are making the switch from Grafana Cloud
Predictable pricing
A single ingest-based pricing model with no per-seat charges, ever. Grafana bills separately for log GB, metric series, trace spans, and user seats.
Logging built for petabyte scale
Apache Parquet on object storage, fast queries and automatic scaling, with no compaction jobs or index management ever.
One query language across everything
Standard SQL across all telemetry and PromQL for metrics. No LogQL, no TraceQL, no context-switching for your engineers and security teams.
Your data stays yours
All telemetry stored in open Apache Parquet on storage you already own. No proprietary formats, full data residency compliance, portable to any tooling.
Faster time to value
Switch your OTel Collector endpoint and you're done. No LogQL to learn, no new syntax to master, your team is productive from day one.
Live demo
See how OpenObserve replaces Grafana Cloud
Get a personalized walkthrough and see how much you'd save moving off Grafana Cloud's per-seat, per-GB billing.
- 30-minute personalized walkthrough
- No credit card required
- See your real migration path from Grafana Cloud
Feature comparison
Modern, full-stack observability
| Feature | Grafana | OpenObserve | Reference Links |
|---|---|---|---|
| Feature parity: logs, metrics, traces, dashboards, alerts, pipelines | ✓ | ✓ | LogsMetricsTracesDashboardsAlertsPipelines |
| Frontend Monitoring (RUM) | ✓ | ✓ | Frontend Observability |
| Query language | LogQL + PromQL + TraceQL | SQL / PromQL | One language for all telemetry |
| Pricing model | Per seat + per GB + per series | Ingest-based only | Predictable at any scale |
| OpenTelemetry native | ✓ | ✓ | OTEL logs Migration |
| Data residency | Grafana-managed regions | Full control - your storage, your region | Bring Your Own Bucket (BYOB) lets you decide exactly where that data lives. |
Migrating from Grafana Cloud
Switching is easier than you think, especially if you're already using OpenTelemetry.
1
Start sending data without re-instrumenting
Point your existing OpenTelemetry Collector or Grafana Agent at O2 Cloud and begin ingesting immediately. Run O2 alongside your existing Grafana Cloud setup while you validate data parity. Application code stays completely untouched.
2
Translate queries and rebuild dashboards
Convert Loki LogQL to standard SQL using migration guides, filter expressions map to WHERE clauses, aggregation functions have direct equivalents. PromQL for metrics carries over unchanged. Most teams rebuild critical dashboards within a day or two.
3
Complete the cutover
Once you've validated your data, dashboards, and alerts in O2 Cloud, update your collectors and integrations to send data exclusively to O2 Cloud. After confirming alerting and on-call workflows are operating as expected, you can safely reduce or retire your Grafana Cloud deployment.
Frequently Asked Questions
Common questions about switching from Grafana Cloud to OpenObserve