Getting Started with OpenObserve
We pushed the same ~2.2 billion samples through one OTel Collector into Prometheus, Grafana Mimir, and OpenObserve (Parquet and Vortex) simultaneously, then ran identical PromQL over a frozen 1.09-million-series dataset. OpenObserve answered irate queries ~15x faster, the million-series histogram ~6x faster, and held ingestion to half of Prometheus's memory.
OpenObserve returned a pod-level log search in 71 ms against ClickHouse's 989 ms on 1 billion rows, and 141 ms against 14.2 seconds when the cache was cold on gp3. The full comparison covers query latency on two disk tiers, storage architecture, schema evolution, and operational tradeoffs.
Jidu acheived 100% tracing fidelity with OpenObserve by migrating from Elasticsearch to OpenObserve. Read this case study to learn how they did it.
