One platform for logs, metrics, traces, and RUM at 140x lower storage cost

Logs, metrics, traces, real user monitoring and session replay, dashboards with 19+ chart types, alerts, incidents, SLOs, pipelines, LLM observability, and an AI SRE agent, all in one binary with one query layer (SQL and PromQL) and one storage layer on object storage.

OpenObserve is open source (AGPL-3.0), self-hostable or fully managed, and priced per GB ingested with unlimited users. Datadog is closed source with per-host, per-metric, and per-user billing. Grafana Cloud splits signals across separate backends with separate query languages. Dash0 is OpenTelemetry-native but closed source, cloud-only, and priced per signal. Full comparisons are on the comparison hub.

OpenObserve writes data as Apache Parquet on object storage (S3, GCS, Azure Blob, MinIO) rather than maintaining inverted indexes. Columnar compression on telemetry yields up to 140x lower storage cost than Elasticsearch for the same data, which is measured in the published benchmarks.

Yes. OTLP is the primary ingestion path for logs, metrics, and traces, so any OpenTelemetry-instrumented application or collector works without a proprietary agent. Prometheus remote-write, Fluent Bit, Vector, syslog, and 100+ other integrations are supported as well.

Yes. Run the single binary, the Helm chart on Kubernetes, or the Self-Hosted Enterprise edition (free up to 50 GB/day with SSO, RBAC, and audit trail). OpenObserve Cloud is available in US and EU regions if you prefer a managed service.