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HelixDB vs Milvus

Learn how HelixDB and Milvus differ in their key features, development activity, technology stack and community adoption, so you can decide which of these vector databases is best for you.

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Favicon of HelixDB

HelixDB

Rust-built native graph-vector database combining vector similarity search and graph traversals. 10x faster development with unified architecture, sub-1ms queries.
  • Stars


    4,073
  • Forks


    215
  • Last commit


    3 days ago
  • Repository age


    1 year
  • License


    AGPL-3.0
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Screenshot of HelixDB
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


    6 hours ago
  • Repository age


    7 years
  • License


    Apache-2.0
View Repository

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Screenshot of Milvus

Detailed Comparison

Milvus appears to have several advantages over HelixDB, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Milvus wins
Community & Popularity

Milvus significantly outpaces HelixDB in community adoption with 43,836 stars compared to 4,073 stars on GitHub. This 10.8x difference suggests Milvus has a much larger and more active community. In terms of developer contributions, Milvus has 3,961 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with HelixDB last updated 3 days ago and Milvus 6 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with Bash, Rust. However, they differ in their additional technology choices: Milvus leverages JavaScript, CSS, Python, Golang, C, Objective-C, C++.

Milvus wins
Project Maturity

Milvus has been in development longer, starting 7 years ago, compared to HelixDB which began 1 year ago. This 5.3-year head start suggests Milvus may have more mature features and established processes.

Comparable
Licensing

The projects use different licenses: HelixDB is licensed under AGPL-3.0 while Milvus uses Apache-2.0. Consider the licensing requirements when choosing for your project.

Comparable
Use Cases & Features

Both tools serve similar use cases in Vector Databases. However, they also have distinct specializations: HelixDB also focuses on Databases while Milvus extends into AI Development Platforms.