Milvus vs Weaviate: Vector Databases Comparison
Compare Milvus and Weaviate side by side. Both are tools in the Vector Databases category.
Quick Comparison
| Category | Vector Databases | Vector Databases |
| Pricing | Open Source | Open Source |
| Best For | Organizations that need vector search at billion-scale with high throughput | Developers who need a flexible, open-source vector database with multimodal and hybrid search |
| Website | milvus.io | weaviate.io |
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When to Choose Milvus vs Weaviate
- Billion-vector similarity search
- Large-scale recommendation systems
- Image and video retrieval
- Multimodal search across text, images, and more
- RAG with hybrid retrieval
- E-commerce product search
How to Choose a Vector Databases Tool
Key criteria to evaluate when comparing Vector Databases solutions:
About Milvus
Milvus is an open-source vector database built for scalable similarity search, capable of handling billions of vectors. Backed by the Zilliz company, Milvus supports multiple index types (IVF, HNSW, DiskANN), GPU-accelerated search, and multi-tenancy. Zilliz Cloud offers a fully managed version with automatic scaling. Milvus is widely used in enterprise deployments requiring high-throughput vector search at scale.
About Weaviate
Weaviate is an open-source vector database that combines vector search with structured filtering and generative capabilities. It supports multiple vectorization modules, hybrid search (combining BM25 and vector search), and built-in integrations with LLMs for retrieval-augmented generation. Weaviate offers both self-hosted and managed cloud deployments, with a GraphQL API that makes it easy to query complex data structures.
What is Vector Databases?
Purpose-built databases for storing, indexing, and querying high-dimensional vector embeddings used in semantic search, RAG, and recommendation systems.
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