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About OpenObserve

OpenObserve provides an open-source, unified observability platform. The platform unifies logs, metrics, and traces and reduces storage costs. It uses columnar Parquet storage written in Rust on the DataFusion engine. It supports logs, metrics, traces, frontend and synthetic monitoring in one engine, auto-correlated across the stack. It can be deployed in the cloud, on a customer's own bucket, on-premises, or fully air-gapped. The company was founded in 2022.

Products

  • Logs: Ingests and queries log lines using SQL.
  • Metrics: Stores and queries Prometheus-compatible metrics.
  • Traces: Follows requests across services with trace context correlated with logs and metrics.
  • Dashboard: Builds dashboards with drag-and-drop panels across signals or imports existing Grafana boards.
  • Alerts: Sets real-time and scheduled alerts on logs, metrics and traces, routed to notification channels.
  • AI SRE agent: An agent that triages incidents, correlates root cause, and drafts postmortems.

Used for

  • Monitoring real users through session traces, Core Web Vitals, and errors correlated with backend traces.
  • Tracing prompts, completions, token usage and cost across LLM applications.
  • Monitoring applications and services from outside-in.

Who it is for

  • Used by organizations needing petabyte-scale data processing, such as a customer ingesting 5 PB/day.

From OpenObserve's own website, read 2026-10-23. How we build listings.

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Quick Facts

openobserve.ai Pricing page
CategoryObservability & Monitoring

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