Performance Benchmarks

Each benchmark streams the same dataset to both systems on identical cloud hardware, then measures ingestion throughput, query latency across representative queries, CPU and memory during ingest and query, and storage on disk or object storage. The full methodology, dataset, and configuration are published with every report so the results can be reproduced.

OpenObserve stores data as Apache Parquet on object storage instead of building inverted indexes. Columnar compression on log data yields up to 140x lower storage cost for the same volume, which is the single largest cost lever for logs-heavy workloads.

Not yet as published head-to-head performance runs; SaaS platforms do not expose comparable infrastructure to measure. For those vendors we publish cost and feature comparisons instead. See OpenObserve vs Datadog, OpenObserve vs Grafana, and OpenObserve vs Dash0, or use the Datadog cost calculator with your own volumes.

Yes. OpenObserve is open source and runs as a single binary, so you can replay your own logs, metrics, or traces into it in minutes. The demo team can also run a proof of concept against your real ingest volume.