GitFounders
About Quickwit
Designed for logs and traces, Quickwit executes queries directly on cost-efficient object storage while ensuring scalability and high availability. Its architecture decouples compute from storage, uses the high-performance Tantivy library, and supports enterprise features such as multi-tenancy and retention policies. Quickwit is easy to deploy on-premise, in the cloud, or via Kubernetes, fitting seamlessly into existing environments with REST APIs and native integrations with popular distributed queues.
Key Features
- Cloud-native search with decoupled compute and storage
- Optimized file format reducing I/O requests
- Smart I/O scheduling for maximum throughput
- Rust-based implementation with no garbage collector
- Enterprise-ready scalability and multi-tenancy
- Seamless integration with object storage and distributed queues
- Native support for OpenTelemetry and Jaeger
Summary
Quickwit delivers a high-performance search experience tailored for observability. Its innovative architecture and efficient processing make it an invaluable tool for managing logs and traces directly on cloud storage, offering developers and enterprises the ability to optimize their operations without vendor lock-in.
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