Quickwit
Quickwit is a cloud-native search engine designed for high-volume data like logs and traces.
PaidVisit site ↗
Our verdict
Who it's for
The fastest search engine on cloud storage for logs and traces.
Who should look elsewhere
No explicit free tier mentioned
Pros
- +Significantly reduces telemetry costs (up to 90% reported)
- +Blazing fast search performance on large datasets
- +Low server resource usage and easy maintenance due to Rust-based design
- +Scales from zero cost at rest to practically infinite volume
- +Easy deployment in existing environments (on-premise, Kubernetes)
Cons
- −No explicit free tier mentioned
- −Requires integration with existing cloud storage and distributed queues
- −Primarily focused on logs and traces, may not be a general-purpose search engine
Key features
- ✓Optimized file format for reduced I/O requests
- ✓Smart I/O scheduling for maximized throughput
- ✓Written in Rust with vectorized processing and SIMD
- ✓Powered by Tantivy search engine library
- ✓Data stored and searched on unlimited, cost-efficient cloud storage
- ✓Schemaless indexing
- ✓OpenTelemetry and Jaeger native integration
- ✓Highly available and trivially horizontally scalable
Pricing
No public pricing plans recorded.
More in Monitoring & Observability
All →Compare with a peer: Quickwit vs Appsignal, Quickwit vs Atatus, Quickwit vs Axiom