OpenObserve is an open-source observability platform that unifies logs, metrics, traces, real-user monitoring, and error tracking — storing everything in low-cost object storage so observability bills stop exploding.
Built as a single platform instead of a patchwork of Elasticsearch, Prometheus, and Jaeger, OpenObserve (O2) writes telemetry to S3, GCS, or Azure Blob using the Parquet format, which its makers say cuts storage costs by up to 140x versus Elasticsearch. Teams query with SQL and PromQL, build dashboards and alerts, and correlate signals across environments with a built-in correlation engine. It deploys as a fully managed cloud or self-hosted from the same codebase, and newer releases add AI-powered incident management, an AI SRE agent, and a natural-language assistant. All cloud plans include unlimited users with no per-seat or per-host fees.
OpenObserve Cloud is pay-as-you-go: ingestion costs $0.50 per GB plus $0.01 per GB queried, with metrics retained 15 months and other data 30 days by default, and a 14-day free trial with no credit card. The open-source edition is free to self-host, and the Self-Hosted Enterprise edition is free for up to 50 GB of ingestion per day; Cloud Enterprise adds custom volume pricing, BYOB infinite retention, and SLAs.
Deployment flexibility is a major draw: run it as a single binary, in Docker, or on Kubernetes, and scale from a Raspberry Pi side project to clusters ingesting terabytes a day. Because the same open-source codebase powers the cloud, teams can start hosted, move in-house later for compliance, and keep their dashboards and queries intact either way.
OpenObserve is for DevOps and platform teams — especially those migrating off Datadog or Splunk — who want full-stack observability with transparent, per-GB pricing and no seat taxes.