
Open-source observability at petabyte scale with 140x lower storage cost
OpenObserve is an open-source, cloud-native observability platform that unifies logs, metrics, traces, real user monitoring, and dashboards into a single tool. Built in Rust with Apache Parquet columnar storage, it delivers up to 140x lower storage cost compared to Elasticsearch and Splunk while supporting petabyte-scale ingestion. It is OpenTelemetry-native, deploys in under 2 minutes, and is trusted by 6,000+ organizations.
Single platform for logs, metrics, traces, RUM, error tracking, and session replay
Apache Parquet columnar format with 40x compression versus Elasticsearch
Full OTLP support and first-class OpenTelemetry compatibility with no vendor lock-in
Frontend performance monitoring, session replay, JavaScript error tracking, and Core Web Vitals
Real-time stream processing for log enrichment, data redaction, and multi-destination routing
Query logs with SQL and metrics with PromQL using standard languages
Stateless, horizontally scalable architecture supporting 2+ PB/day deployments
Monitor pods, nodes, and cloud resources with unified metrics and logs
Visualize request flows across services with flamegraphs to identify latency bottlenecks
Drop-in replacement for expensive observability stacks with 80-140x cost reduction
Capture Core Web Vitals, session replays, and JavaScript errors from real users
Best for log-heavy workloads where storage cost is the primary concern, with the easiest single-binary deployment of any unified observability platform
Best for maximum cost reduction — if your Datadog bill is dominated by log storage and data retention costs, OpenObserve's compression technology delivers the biggest savings.
Built-in AI assistant for querying, anomaly detection, and observability insights

Open-source LLMOps platform for prompt management, evaluation, and observability