openobserve/openobserve
Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO 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 · 2026-10-10
Health v2 · maintenance only
94/100
- Activity 99
- Release rhythm 86
- Longevity 96
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 3.0
- age_days: 1357
- days_rel: 12
- days_push: 11
- n_releases_24m: 145
Adoption not part of the score
22311 stars · 1126 forks observed · 2026-10-10
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97
OpenObserve is an open‑source, cloud‑native observability platform that unifies logs, metrics, traces, RUM and LLM monitoring. It runs as a single binary and stores data in Parquet on S3‑compatible storage for petabyte‑scale performance.
Use cases
- collect and search application logs with SQL and full‑text queries
- visualize real‑time metrics and set threshold alerts
- trace distributed requests across microservices using OpenTelemetry
- monitor frontend performance with session replay and RUM
- track LLM prompt usage, latency and cost in production
When to choose
- You need a single, self‑hosted observability stack covering logs, metrics, traces and RUM.
- Cost is a primary concern and you want storage that is up to 140× cheaper than Elasticsearch.
- You prefer a simple deployment (single binary) that can run on Kubernetes or Docker.
- You want native support for OpenTelemetry, Prometheus remote‑write and S3‑compatible storage.
When to avoid
- You require a fully managed SaaS solution with zero operational overhead.
- Your environment relies heavily on Windows‑only agents that are not supported.
- You need deep APM features or proprietary integrations that are only available in commercial tools.
Facets
service · maturity active
logging monitoring tracing alerting monitoring cloud-computing cloud self-hosted single-binary cost-efficient real-user-monitoring session-replay llm-observability no-code-pipelines dashboard devops linux docker kubernetes
10 sources
- readme: https://github.com/openobserve/openobserve · fetched 2026-10-10 · 306cb6de1a5a
- homepage: https://openobserve.ai · fetched 2026-09-28 · feb72da2d05c
- site_page: https://openobserve.ai/docs · fetched 2026-09-28 · 70a2338a4036
- site_page: https://openobserve.ai/webinars-videos/getting-started-openobserve · fetched 2026-08-29 · db9facf28b22
- site_page: https://openobserve.ai/docs/features/logs · fetched 2026-09-28 · eb37554f8435
- site_page: https://openobserve.ai/docs/features/metrics · fetched 2026-09-28 · 403920e1ec78
- site_page: https://openobserve.ai/docs/features/distributed-tracing · fetched 2026-09-28 · 87fc062330a9
- site_page: https://openobserve.ai/docs/user-guide/analytics/dashboards/dashboards-in-openobserve · fetched 2026-09-28 · d949f073655d
- site_page: https://openobserve.ai/docs/enterprise-setup/sre-agent · fetched 2026-09-28 · 78142c532cc3
- site_page: https://openobserve.ai/pricing · fetched 2026-09-28 · 8fa9fdfc3973
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| openobserve/openobserve | main | 94 |
For agents
markdown · JSON · MCP: product_card(name="openobserve/openobserve")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem