Quickwit
Quickwit is a blazing-fast, scalable search and analytics engine for cloud storage, ideal for log management and distributed tracing.
Description
Quickwit is a sub-second search and analytics engine built for cloud storage. Optimized for speed and scalability, it uses a unique file format and smart I/O scheduling to minimize data access times. Written in Rust, it leverages vectorized processing and SIMD instructions for high performance. Quickwit seamlessly integrates with various cloud storage and queuing systems, offering both open-source and enterprise versions. It's designed for log management and distributed tracing, and is highly scalable and available.
Features
Quickwit's core features include sub-second search capabilities, optimized file formats, smart I/O scheduling, and a Rust-based architecture. It supports schemaless indexing, seamless integration with cloud storage (like Amazon S3 and MinIO) and distributed queues (like Kafka and Kinesis), and is designed for log management and distributed tracing. Its enterprise version offers multi-tenancy, retention policies, and support for targeted deletions, addressing GDPR compliance needs. The decoupled compute and storage architecture enables easy deployment and scalability.
Benefits
Quickwit offers sub-second search latency on massive datasets, significantly reducing troubleshooting time. Its cost-effective architecture leverages existing cloud storage, minimizing infrastructure costs. The schemaless indexing and support for various data sources enhance flexibility. The open-source and enterprise options cater to diverse needs and budgets. Ease of deployment, whether single-node, multi-node, on-premise, or cloud, reduces implementation overhead. Quickwit's robust design ensures high availability and scalability, making it suitable for mission-critical applications.
Links
- Home: https://quickwit.io
- Source code: https://github.com/quickwit-oss/quickwit
Details
- Open Source: ✅
- European: ❌