OpenObserve
Public facts onlyOpen source. Every licence listed is on the Open Source Initiative approved list. Source code
Collects and searches logs, performance data and request traces from servers and apps, with dashboards, alerts, session replay and AI usage tracking. (reviewed by BenchLytix)
Running it yourself
We have no supporting services on record from this project's setup files, so we give no hosting estimate. Check the project's own requirements. You need a server, or an IT provider who runs one for you.
What this label rests on
Licence, last update and source code, from public records. We have not run it.
Facts and where they come from
| Fact | Value | Source |
|---|---|---|
| Licence identifiers | AGPL-3.0 | GitHub repositoryfetched 2026-10-13 |
| GitHub stars | 22,335 | GitHub repositoryfetched 2026-10-13 |
| Contributors | 162 | GitHub repositoryfetched 2026-10-13 |
| Last update to the code | 2026-10-13 | GitHub repositoryfetched 2026-10-13 |
| Archived | No | GitHub repositoryfetched 2026-10-13 |
| Listing description | 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. | GitHub repositoryfetched 2026-10-13 |
Not on record: Commits by month, Current release, Docker Hub image, Platforms, Connectors in its directory, API documentation, Single sign-on documentation, External services it needs, Described as an alternative to, Website.
Licence class is derived from the licence identifiers above, never typed by hand. How
Editorial notes
- What it does
- Collects and searches logs, performance data and request traces from servers and apps, with dashboards, alerts, session replay and AI usage tracking.
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Goals it fits
- Monitor servers and apps, Monitor your AI app's model calls
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Ops burden
- 1 of 3 (one container)
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Known gaps
- Multi-region deployments and search across regions or clusters are limited to the paid Enterprise edition. High-availability setups for large workloads require a separate clustered deployment.
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
Editorial, not measured. Every note was reviewed by BenchLytix before this record was published.