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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Significantly reduces telemetry costs (up to 90% reported)
Biggest con
No explicit free tier mentioned
TL;DR - Quickwit
- Fast, cloud-native search engine for logs and traces.
- Optimized for cost-efficient object storage with decoupled compute and storage.
- Built in Rust for high performance and scalability, reducing operational costs.
Pricing: Paid only
Best for: Enterprises & pros
What is Quickwit?
Quickwit is a cloud-native search engine designed for high-volume data like logs and traces. It distinguishes itself from traditional search technologies by optimizing for raw data search where query per second (QPS) might be low, but data volume is virtually limitless. Built in Rust and leveraging the Tantivy search engine library, Quickwit offers sub-second search capabilities directly on cost-efficient object storage, such as Amazon S3, MinIO, and Ceph.
The product is engineered for performance and scalability, featuring a decoupled compute and storage architecture that allows for easy deployment on-premise or on Kubernetes. It supports schemaless indexing, OpenTelemetry and Jaeger native integration, multi-tenancy, and robust retention policies, including targeted deletions for GDPR compliance. Quickwit is ideal for DevOps and data engineers looking for a cost-effective, high-performance solution for log management and trace analysis without the maintenance overhead of older systems.
Pros & Cons
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
Preview
Key Features
Optimized file format for reduced I/O requestsSmart I/O scheduling for maximized throughputWritten in Rust with vectorized processing and SIMDPowered by Tantivy search engine libraryData stored and searched on unlimited, cost-efficient cloud storageSchemaless indexingOpenTelemetry and Jaeger native integrationHighly available and trivially horizontally scalable
Pricing
Paid
Quickwit offers paid plans. Visit their website for current pricing details.
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Quickwit FAQ
How does Quickwit optimize cost for log and trace data?
Quickwit significantly reduces telemetry costs by operating directly on cost-efficient object storage like Amazon S3, MinIO, and Ceph. This approach allows for scaling from zero cost at rest to virtually infinite data volumes while maintaining blazing fast search performance.
Which teams benefit most from using Quickwit?
Quickwit is ideal for DevOps and data engineers who require a cost-effective and high-performance solution for log management and trace analysis. It helps these teams manage high-volume data without the maintenance overhead associated with older systems.
How does Quickwit compare to Elasticsearch for log management?
Unlike Elasticsearch, Quickwit is specifically designed for raw data search on cloud storage, optimizing for scenarios with low queries per second but virtually limitless data volume. Quickwit also offers a decoupled compute and storage architecture, which contributes to its cost efficiency and scalability.
What kind of data does Quickwit primarily handle?
Quickwit is primarily focused on handling high-volume data such as logs and traces. While it is a search engine, its design is specialized for these specific data types rather than serving as a general-purpose search engine.
Does Quickwit integrate with existing observability tools?
Yes, Quickwit offers native integration with OpenTelemetry and Jaeger, enabling seamless incorporation into existing observability workflows. It also supports schemaless indexing and multi-tenancy for flexible data management.
How is Quickwit priced?
Quickwit is a paid product and does not include a permanently free tier. Its pricing model is designed to offer significant cost reductions for telemetry data, potentially up to 90%.
What are the deployment options for Quickwit?
Quickwit can be easily deployed in various existing environments, including on-premise setups and Kubernetes clusters. Its architecture, built in Rust and leveraging Tantivy, ensures low server resource usage and straightforward maintenance.
Source: quickwit.io