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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
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.
About Quickwit
By Toolradar Team·
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.
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Quickwit FAQ
What is Quickwit?
Quickwit is a cloud-native search engine built in Rust, optimized for searching large volumes of logs and traces directly on cost-efficient object storage. It offers high performance, scalability, and reduced operational costs compared to traditional search solutions.
How much does Quickwit cost?
The website does not explicitly state pricing plans, but testimonials suggest it significantly reduces costs compared to alternatives, implying a paid model based on usage or enterprise agreements. There is no mention of a free tier.
Is Quickwit free?
The provided content does not indicate that Quickwit is free or offers a free tier. It is presented as an enterprise-ready solution with cost-saving benefits, suggesting a paid product.
Who is Quickwit for?
Quickwit is primarily for DevOps and data engineers who need a high-performance, scalable, and cost-effective solution for managing and searching large volumes of logs and traces, particularly those looking to leverage cloud object storage.
Source: quickwit.io