# 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.

Repository: https://github.com/openobserve/openobserve
Canonical: https://ross.abutalabs.com/products/openobserve
Homepage: https://openobserve.ai
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: logs, metrics, traces, analytics, elasticsearch, jaeger, log-analytics, log-management, prometheus, log-search, kibana, monitoring, observability, opentelemetry, datadog, apm, openobserve, grafana, splunk, rust-lang
Last push: 2026-08-26T19:09:47+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 93
- inputs: {"age_days": 1308, "days_push": 7, "days_rel": 16, "gap_med": 2.0, "n_releases_24m": 137}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 21490, forks 1056 (observed 2026-08-28T04:11:31.766680+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: monitoring, logging, tracing, analytics, alerting, data-visualization, search-engine, etl
- domain: monitoring, analytics, large-language-models, self-hosted, cloud-computing
- platform: self-hosted, cloud, windows, rust
- tags: observability, opentelemetry, promql, log-analytics, apm, rum, datadog-alternative, parquet, s3-native, llm-observability, devops, docker, kubernetes, linux, macos, web-server

## Member repositories
- openobserve/openobserve (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:31.766680+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:58:05.662995+00:00, confidence not recorded.
  - readme: https://github.com/openobserve/openobserve (fetched 2026-08-28T04:11:31.766680+00:00, sha 306cb6de1a5a)
  - homepage: https://openobserve.ai (fetched 2026-08-29T07:57:02.566316+00:00, sha c2103d84df86)
  - site_page: https://openobserve.ai/docs (fetched 2026-08-29T07:57:02.579692+00:00, sha 70a2338a4036)
  - site_page: https://openobserve.ai/webinars-videos/getting-started-openobserve (fetched 2026-08-29T07:57:02.575346+00:00, sha db9facf28b22)
  - site_page: https://openobserve.ai/pricing (fetched 2026-08-29T07:57:02.577347+00:00, sha c9d2b80e9ab7)
- Data as of 2026-08-30T08:39:29.467469+00:00.