OpenObserve
OpenObserve is an open-source observability platform designed to help organizations of all sizes, from Fortune 500 giants to innovative startups, manage their logs, me…
Our verdict
Who it's for
Open source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.
Who should look elsewhere
Pricing for advanced features like AI Assistant and AI SRE Agent is currently in preview, future costs are not fully detailed.
Pros
- +Significantly lower storage costs (up to 140x compared to Elasticsearch).
- +High performance and scalability, capable of handling petabytes of data.
- +Open-source nature allows for community contributions, security audits, and full control.
- +Unified platform for logs, metrics, and traces simplifies observability.
- +Supports open standards and protocols for vendor-neutral integration.
Cons
- −Pricing for advanced features like AI Assistant and AI SRE Agent is currently in preview, future costs are not fully detailed.
- −Requires some technical expertise for self-hosting and managing storage buckets.
Key features
- ✓Logs, Metrics & Traces Ingestion
- ✓High Compression (40x) and Columnar Storage (Apache Parquet)
- ✓Bring Your Own Storage (S3, MinIO, GCS, Azure Blob Storage)
- ✓DataFusion Query Engine for direct Parquet file querying
- ✓Stateless Node Architecture for horizontal scaling
- ✓Result and Disk Caching for performance at scale
- ✓OpenTelemetry compatible
- ✓Real User Monitoring (RUM)
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Pay As You Go | — | month | Logs, Metrics & Traces Ingestion: $0.50 per GB; Logs, Metrics & Traces Query: $0.01 per GB; Pipelines Data processed: $0.20 per GB |
| Enterprise | — | month | Premium support; Deployment flexibility (Public Cloud, or Bring Your Own Cloud); Architecture reviews |