Learn how OpenSearch and Quickwit differ in their key features, development activity, technology stack and community adoption, so you can decide which of these search engines is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both OpenSearch and Quickwit have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with OpenSearch having 13,877 stars and Quickwit having 11,723 stars on GitHub. In terms of developer contributions, OpenSearch has 3,006 forks, indicating strong developer engagement.
OpenSearch is growing faster, adding 156 stars in the last 30 days (+1.1%) against adding 81 stars for Quickwit (+0.7%). OpenSearch is both larger and pulling further ahead.
Both projects show recent activity, with OpenSearch last updated 9 hours ago and Quickwit 9 hours ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: OpenSearch uses Java while Quickwit leverages JavaScript, CSS, Typescript, JSX, Rust.
Both projects started around the same time, with OpenSearch beginning 6 years ago and Quickwit 6 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Search Engines.
Both OpenSearch and Quickwit offer self-hosting capabilities, giving you full control over your data and infrastructure.