Quickwit
Cloud-native, sub-second search on cloud storage for logs and traces.
Quickwit is a cloud-native open-source search engine built for observability data, including logs and traces. It runs compute separately from storage and supports querying data directly on object storage for scalable, cost-efficient search.
Key Features
- Full-text search and aggregation queries
- Elasticsearch-compatible API, use Quickwit with Elasticsearch or OpenSearch clients
- Jaeger-native and OTEL-native support for logs and traces
- Schemaless indexing and analytics
- Sub-second search on cloud storage (e.g., S3, Azure Blob, Google Cloud Storage)
- Decoupled compute and storage with stateless indexers & searchers
- Grafana data source
- Kubernetes-ready with a Helm chart
- RESTful API
Use Cases
- Log management across large-scale deployments
- Distributed tracing analytics for microservices
- Real-time search and exploration of observability data to troubleshoot incidents
Conclusion
Quickwit is a scalable, open-source solution designed to search and analyze vast observability datasets directly on cloud storage. Its architecture emphasizes decoupled compute/storage, compatibility with popular tooling, and ease of deployment on Kubernetes.
Categories:
Tags:
Tech Stack:
Helm
Kubernetes
MinIO (S3-compatible)
Docker
Rust
Amazon S3 API (S3-compatible)Similar Services
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