Qdrant vs Weaviate
Learn how Qdrant and Weaviate 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.
Learn how Qdrant and Weaviate 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.
Qdrant
Stars
30,648Forks
2,201Last commit
16 hours agoRepository age
6 yearsLicense
Apache-2.0
Auto-fetched .
Weaviate
Stars
16,073Forks
1,264Last commit
19 hours agoRepository age
10 yearsLicense
BSD-3-ClauseSelf-hosted
Yes
Auto-fetched .
Detailed Comparison
Weaviate appears to have several advantages over Qdrant, particularly in maturity, licensing and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Weaviate appears to have several advantages over Qdrant, particularly in maturity, licensing and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Community & Popularity
Qdrant leads in popularity with 30,648 stars vs 16,073 stars for Weaviate. The 91% higher star count indicates stronger community adoption. In terms of developer contributions, Qdrant has 2,201 forks, indicating strong developer engagement.
Development Activity
Both projects show recent activity, with Qdrant last updated 16 hours ago and Weaviate 19 hours ago.
Technology Stack
Both tools share common technology foundations, being built with JavaScript, Bash, Python, C. However, they differ in their additional technology choices: Qdrant uses Rust, Objective-C while Weaviate leverages Golang.
Project Maturity
Weaviate has been in development longer, starting 10 years ago, compared to Qdrant which began 6 years ago. This 4.2-year head start suggests Weaviate may have more mature features and established processes.
Licensing
Weaviate uses the BSD-3-Clause license, which is more permissive than Qdrant's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Use Cases & Features
Both tools serve similar use cases in Vector Databases. However, they also have distinct specializations: Qdrant also focuses on AI Development Platforms while Weaviate extends into Data Platforms for AI.
Hosting & Deployment
Weaviate provides self-hosting options for complete data control and customization, while Qdrant may be primarily cloud-based or require different deployment approaches.
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