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.
Related Software
| Search Engines for Big Data | |
|---|---|
| ElasticSearch | Flexible and powerful distributed RESTful search engine and analytics |
| Solr | Search engine server that uses Lucene |
| Lucene | Search engine library |
| MeiliSearch | Easy to use and deploy search engine |
| OpenSearch | Enterprise-grade search and observability suite |
| Sphinx | Search engine designed with indexing database content in mind |
| Xapian | Probabilistic information retrieval library |
| Typesense | Fast, typo-tolerant search engine |
| Manticore Search | Easy to use fast database for search |
| Vespa | AI search platform |
| Groonga | Fulltext search engine and column store |
Read our verdict in the software roundup.
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