Quickwit
A fast, scalable search and analytics engine designed for logs and traces, optimized for cloud storage with sub-second latency and cost efficiency.
Quickwit is an open-source alternative to:
Quickwit is a sub-second search and analytics engine built for cloud storage, enabling fast and cost-efficient querying of large datasets. Designed for logs and traces, it leverages Rust, vectorized processing, and SIMD for high performance.
Key Features
- Ultra-fast performance: Optimized file format and smart I/O scheduling for sub-second latency on cloud storage.
- Cloud-native architecture: Decoupled compute and storage with support for object storage (S3, MinIO, Ceph) and distributed queues (Kafka, Kinesis).
- Log and trace management: Native support for OpenTelemetry and Jaeger, schemaless indexing, and error troubleshooting directly on object storage.
- Enterprise-ready: High availability, multi-tenancy, retention policies, and GDPR-compliant deletions.
- Scalability: Horizontally scalable with stateless searchers and indexers, suitable for large-scale deployments.
- REST API: Easy integration with existing systems and tools.
- Open-source core: Built in Rust with Tantivy, a high-performance search library.
Tech / Self-Hosting
Quickwit is open-source and can be self-hosted on-premise or in the cloud. It supports Kubernetes and integrates seamlessly with popular object storage and distributed queue systems. The architecture is designed for ease of deployment and scalability, making it ideal for data-intensive applications.