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Quickwit – cloud-native search engine

Quickwit is a cloud-native search engine for observability workloads including log management, distributed tracing, and other large-scale immutable event data.

It’s designed to execute search and analytics queries directly on object storage, with a decoupled compute and storage architecture that helps it scale efficiently while remaining straightforward to operate.

This is free and open source software.

Key Features

  • Provides full-text search and aggregation queries for observability data.
  • Supports sub-second search directly on cloud object storage.
  • Offers Elasticsearch-compatible APIs for search and ingest workflows.
  • Works with OTEL-native logs and traces as well as Jaeger-native tracing.
  • Supports both schemaless indexing and strict schema indexing.
  • Uses stateless indexers and searchers with decoupled compute and storage.
  • Includes a RESTful API and Grafana data source integration.
  • Supports Kubernetes deployments with Helm charts.

Website: github.com/quickwit-oss/quickwit
Support:
Developer: Quickwit OSS
License: Apache License 2.0

Quickwit is written in Rust. Learn Rust with our recommended free books and free tutorials.


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OpenSearchEnterprise-grade search and observability suite
SphinxSearch engine designed with indexing database content in mind
XapianProbabilistic information retrieval library
TypesenseFast, typo-tolerant search engine
Manticore SearchEasy to use fast database for search
VespaAI search platform
GroongaFulltext search engine and column store

Read our verdict in the software roundup.


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