openobserve/openobserve
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment. observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 99
- Release rhythm 86
- Longevity 93
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 2.0
- age_days: 1308
- days_rel: 16
- days_push: 7
- n_releases_24m: 137
Adoption not part of the score
21490 stars · 1056 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
OpenObserve is an open-source, cloud-native observability platform that unifies logs, metrics, traces, RUM, and LLM observability in a single binary. Built in Rust with Parquet columnar storage and S3-native architecture, it offers petabyte-scale performance at up to 140x lower storage cost than Elasticsearch-based stacks.
Use cases
- centralize logs, metrics, and traces in one self-hosted platform
- replace Datadog or Splunk at lower cost
- search and analyze logs with SQL and full-text queries
- monitor LLM application prompts, tokens, latency, and cost
- set up alerts and dashboards for infrastructure monitoring
- collect distributed traces across microservices
- monitor real user sessions with replay and error tracking
- run a single-binary observability stack on Kubernetes or Docker
When to choose
- you want a unified observability platform without running separate Elasticsearch, Prometheus, and Jaeger clusters
- storage costs for logs and traces are a concern and you want S3-backed columnar storage
- you need a quick single-binary deployment that scales to petabytes
- you want OpenTelemetry, Prometheus, and Fluent Bit ingestion with SQL and PromQL querying
- you need LLM observability alongside traditional telemetry
When to avoid
- you depend on a mature ecosystem of Grafana/Kibana plugins and integrations specific to those tools
- you require AGPL-3.0-incompatible licensing for your product
- you need long-established enterprise support contracts comparable to Datadog or Splunk
- your team is heavily invested in an existing ELK or Prometheus stack with no migration appetite
Facets
application · maturity active
monitoring logging tracing analytics alerting data-visualization search-engine etl monitoring analytics large-language-models self-hosted cloud-computing self-hosted cloud windows rust observability opentelemetry promql log-analytics apm rum datadog-alternative parquet s3-native llm-observability devops docker kubernetes linux macos web-server
5 sources
- readme: https://github.com/openobserve/openobserve · fetched 2026-08-28 · 306cb6de1a5a
- homepage: https://openobserve.ai · fetched 2026-08-29 · c2103d84df86
- site_page: https://openobserve.ai/docs · fetched 2026-08-29 · 70a2338a4036
- site_page: https://openobserve.ai/webinars-videos/getting-started-openobserve · fetched 2026-08-29 · db9facf28b22
- site_page: https://openobserve.ai/pricing · fetched 2026-08-29 · c9d2b80e9ab7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| openobserve/openobserve | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="openobserve/openobserve")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem