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Milvus vs Qdrant

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.

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Favicon of Milvus

Milvus

Open-source vector database optimized for similarity search, scaling to billions of vectors with minimal performance loss
  • Stars


    43,836
  • Forks


    3,961
  • Last commit


    4 hours ago
  • Repository age


    7 years
  • License


    Apache-2.0
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Screenshot of Milvus
Favicon of Qdrant

Qdrant

Qdrant is an open-source vector database that provides high-performance similarity search for AI and machine learning applications.
  • Stars


    30,384
  • Forks


    2,169
  • Last commit


    4 hours ago
  • Repository age


    6 years
  • License


    Apache-2.0
View Repository

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Screenshot of Qdrant

Detailed Comparison

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.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Milvus having 43,836 stars and Qdrant having 30,384 stars on GitHub. In terms of developer contributions, Milvus has 3,961 forks, indicating strong developer engagement.

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Development Activity

Both projects show recent activity, with Milvus last updated 4 hours ago and Qdrant 4 hours ago.

Comparable
Technology Stack

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++.

Comparable
Project Maturity

Both projects started around the same time, with Milvus beginning 7 years ago and Qdrant 6 years ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

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Use Cases & Features

Both tools serve similar use cases in AI Development Platforms, Vector Databases.