Milvus vs Weaviate
On the evidence we track, Weaviate leads this comparison with a composite score of 63/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Milvus
A high-performance, distributed vector database that enables fast similarity search across billions of high-dimensional vectors, supporting real-time updates, flexible metadata filtering, and hybrid search capabilities for AI and machine learning applications.
Weaviate
LeaderA vector database that enables semantic search by storing both objects and vectors, with built-in support for combining vector similarity search with traditional keyword search, retrieval-augmented generation, and reranking capabilities.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Milvus
- OpenAI
- Sentence Transformers
- BGE-M3
- SPLADE
- Jina AI
- BM25
- PyMilvus
- Jina
Weaviate
LeaderNot documented yet.
Milvus or Weaviate: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.