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.
Stars
Forks
Last commit
Repository age
License
Auto-fetched .

Stars
Forks
Last commit
Repository age
License
Self-hosted
Auto-fetched .

Both OpenSearch and Quickwit have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with OpenSearch having 12,814 stars and Quickwit having 11,110 stars on GitHub. In terms of developer contributions, OpenSearch has 2,535 forks, indicating strong developer engagement.
Both projects show recent activity, with OpenSearch last updated 1 day ago and Quickwit 1 day 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 5 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.