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.

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 13,528 stars and Quickwit having 11,497 stars on GitHub. In terms of developer contributions, OpenSearch has 2,899 forks, indicating strong developer engagement.
OpenSearch is growing faster, adding 199 stars in the last 30 days (+1.5%) 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 2 days ago and Quickwit 2 days 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 5 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.
Quickwit provides self-hosting options for complete data control and customization, while OpenSearch may be primarily cloud-based or require different deployment approaches.

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