Learn how Milvus and Qdrant differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai development platforms is best for you.
Stars
Forks
Last commit
Repository age
License
Activity score

Stars
Forks
Last commit
Repository age
License
Activity score

Both Milvus and Qdrant 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 Milvus having 44,821 stars and Qdrant having 32,404 stars on GitHub. In terms of developer contributions, Milvus has 4,072 forks, indicating strong developer engagement.
Both projects show recent activity, with Milvus last updated 2 hours ago and Qdrant 3 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Python, Rust, C, Objective-C. However, they differ in their additional technology choices: Milvus uses CSS, Golang, C++.
Both projects started around the same time, with Milvus beginning 7 years ago and Qdrant 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 AI Development Platforms, Vector Databases.