Quickwit icon
Quickwit icon

Quickwit

Quickwit is the next-gen search & analytics engine built for logs. It is a highly reliable & cost-efficient alternative to Elasticsearch.

True Decoupled Compute & Storage. Ingestion with distributed queues, like Kafka & Kinesis.

Cost / License

  • Free
  • Open Source

Platforms

  • Mac
  • Linux
  • Self-Hosted
-
No reviews
2likes
0comments

Features

Suggest and vote on features
  1.  Kubernetes
  2.  Rust
  3.  Logging
  4. Amazon Simple Storage Service icon  Support for Amazon S3

 Tags

Quickwit News & Activities

Highlights All activities

Recent News

Show more news

Recent activities

Show all activities

Quickwit information

  • Developed by

    FR flagQuickwit
  • Licensing

    Open Source (Apache-2.0) and Free product.
  • Written in

  • Alternatives

    4 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Network & Admin

GitHub repository

  •  10,638 Stars
  •  499 Forks
  •  728 Open Issues
  •   Updated  
View on GitHub
Quickwit was added to AlternativeTo by maxim_kraynyuchenko on and this page was last updated .
No comments or reviews, maybe you want to be first?
Post comment/review

What is Quickwit?

Quickwit is the next-gen search & analytics engine built for logs. It is a highly reliable & cost-efficient alternative to Elasticsearch.

Investigate petabytes of logs sitting on your favorite object storage with sub-second queries.

Features include, but are not limited to:

  • Index data persisted on object storage
  • Ingest JSON documents with or without a strict schema
  • Aggregation API Elasticsearch compatible
  • Runs on a fraction of the resources: written in Rust, powered by the mighty tantivy
  • Works out of the box with sensible defaults
  • Optimized for multi-tenancy. Add and scale tenants with no overhead costs
  • Distributed search
  • Cloud-native: Kubernetes ready
  • Add and remove nodes in seconds
  • Decoupled compute & storage
  • Sleep like a log: all your indexed data is safely stored on object storage (AWS S3...)
  • Ingest your documents with exactly-once semantics
  • Kafka-native ingestion
  • Search stream API that notably unlocks full-text search in ClickHouse

Official Links