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OpenObserve

Observability
Open source · AGPL-3.0

OpenObserve is an observability platform that handles logs, metrics, traces, and RUM (real user monitoring) in a single binary.

updated 2026-07-01

What it is

OpenObserve is an observability platform that handles logs, metrics, traces, and RUM (real user monitoring) in a single binary. It positions itself as a lower-cost, simpler-to-operate alternative to the Elastic stack, built with object storage (S3/MinIO/GCS/Azure Blob) as the primary storage layer instead of requiring dedicated disk-heavy nodes. It ships as a single Rust/Go core with a TypeScript frontend, and can run as a single node or a distributed cluster (ingester/querier/compactor split). Query language support includes SQL and PromQL-compatible metrics querying.

Who builds it and why

Built by OpenObserve Inc. (the project is commercially backed, not a loose community effort). The motivation stated publicly by the maintainers is cost: they argue that Elasticsearch-based logging stacks get prohibitively expensive at scale due to storage and compute overhead, and OpenObserve's object-storage-first architecture cuts that cost significantly. CNCF maturity is not publicly available — this is not a CNCF sandbox/incubating/graduated project as far as public records show, it's a vendor-led open-core project.

Production readiness signal

19,631 GitHub stars and 123 contributors indicate meaningful adoption and a real (if not huge) contributor base beyond the core company. Active development is confirmed by recent commits and a current release at v0.91.0 — the version number itself signals the project has not hit a 1.0 stability milestone yet, which matters if you're evaluating for long-term production commitments. AGPL-3.0 licensing is a signal in itself: it's a copyleft license specifically chosen to make it hard for cloud providers to offer OpenObserve-as-a-service without contributing back or buying a commercial license. No public data on founding date, funding, or SLA-backed enterprise customer count, so treat maturity claims with normal skepticism until you've tested it against your own ingest volume and query patterns.

Who should use this

  • Teams currently running self-managed Elasticsearch/OpenSearch for logs who are hitting storage cost or cluster-ops pain and want an object-storage-native alternative.
  • Small-to-mid platform teams that want one tool for logs, metrics, traces, and RUM instead of stitching together Loki + Prometheus + Tempo + a RUM SaaS.
  • Organizations comfortable with AGPL licensing obligations and single-vendor open-core dynamics.
  • Teams that can tolerate a pre-1.0 release cadence and want to self-host with support from an active but not enormous contributor base.

Who should NOT use this

  • Teams needing CNCF-graduated, multi-vendor governance for procurement/compliance reasons — this is a single-company project, not a foundation-governed one.
  • Organizations with legal teams that reflexively reject AGPL for anything touching customer-facing infrastructure — you need to actually read the license terms, not just see "open source" and move on.
  • Shops already deeply invested in the Grafana ecosystem (Loki/Mimir/Tempo) with existing dashboards and alerting — migrating off a working stack for cost savings alone rarely pays off fast enough to justify the churn.
  • Anyone needing hard proof of large-scale (multi-petabyte, thousands of nodes) production deployments before committing — that data isn't publicly available here, so you'd be an early large-scale reference customer, not following one.

Alternatives

  • Grafana Loki + Mimir + Tempo — the incumbent CNCF-aligned stack for logs/metrics/traces, more mature ecosystem, more operational pieces to run.
  • Elasticsearch/OpenSearch — the stack OpenObserve is explicitly positioned against; more mature, more expensive at scale, heavier ops burden.
  • SigNoz — another open-core, single-binary-ish observability platform (OpenTelemetry-native) with similar cost-conscious positioning and a comparable community size.

Pricing

OpenObserve is open source under AGPL-3.0 — you can self-host the full feature set for free, subject to AGPL's copyleft/network-use disclosure obligations. The company also offers a managed cloud version and a commercial license for organizations that need to avoid AGPL's copyleft terms (e.g., embedding it in a proprietary SaaS product). Exact commercial/cloud pricing is not publicly available in the data provided — check directly with OpenObserve Inc. for current rates.

Frequently asked

What is OpenObserve?+
OpenObserve is an observability platform that handles logs, metrics, traces, and RUM (real user monitoring) in a single binary.
Who builds OpenObserve?+
Built by OpenObserve Inc. (the project is commercially backed, not a loose community effort).
Is OpenObserve production ready?+
19,631 GitHub stars and 123 contributors indicate meaningful adoption and a real (if not huge) contributor base beyond the core company. Active development is confirmed by recent commits and a current release at v0.91.0 — the version number itself signals the project has not hit a 1.
Who should use OpenObserve?+
Teams currently running self-managed Elasticsearch/OpenSearch for logs who are hitting storage cost or cluster-ops pain and want an object-storage-native alternative. Small-to-mid platform teams that want one tool for logs, metrics, traces, and RUM instead of stitching together Loki + Prometheus + Tempo + a RUM SaaS.
Who should not use OpenObserve?+
Teams needing CNCF-graduated, multi-vendor governance for procurement/compliance reasons — this is a single-company project, not a foundation-governed one.
What are the alternatives to OpenObserve?+
Grafana Loki + Mimir + Tempo — the incumbent CNCF-aligned stack for logs/metrics/traces, more mature ecosystem, more operational pieces to run. Elasticsearch/OpenSearch — the stack OpenObserve is explicitly positioned against; more mature, more expensive at scale, heavier ops burden.
How much does OpenObserve cost?+
OpenObserve is open source under AGPL-3.0 — you can self-host the full feature set for free, subject to AGPL's copyleft/network-use disclosure obligations. The company also offers a managed cloud version and a commercial license for organizations that need to avoid AGPL's copyleft terms (e.g.