Head-to-head · Ai Databases
Weaviate vs Milvus
Weaviate leads on 0 checks, Milvus on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreWeaviate · 8.7/10
- Free planboth
Weaviate scores higher on our rubric for ai databases: 8.7 against 8.6 out of 10; our editors rank them #3 and #4.
Weaviate is the better fit for teams needing cloud or self-hosted vector search. Milvus is the better fit for developers wanting open-source vector search.
- Weaviate fits best
Teams needing cloud or self-hosted vector search
- Milvus fits best
Developers wanting open-source vector search
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Side by side
| Feature | Weaviate 8.7/10 Visit ↗ | Milvus 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.6 |
| Ranking | #3 in Ai Databases | #4 in Ai Databases |
| Best for | Teams needing cloud or self-hosted vector search | Developers wanting open-source vector search |
| Pricing model | Free plan + paid | Free |
| Starting price | $45/mo | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Support | Email, Phone, Community, Docs · 24/7 | Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Weaviate 2/3 · Milvus 2/3 | ||
| Metadata filtering | ✓ | ✓ |
| Hybrid search | ✓ | ✓ |
| Managed backups | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Not checked yet | Not checked yet |
| Index types | HNSW, Flat, Dynamic, HFresh | HNSW, IVF, FLAT, DiskANN, SCANN |
| Max vector dimensions | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Weaviate is an open-source vector database for developers building semantic search, retrieval-augmented generation, recommendations, and other AI applications. It stores objects with vector embeddings and supports vector similarity,… Read the review → |
Milvus is an open-source vector database for developers and organizations building semantic search, retrieval-augmented generation, recommendations, image search, and other AI applications. It stores, indexes, and searches dense, sparse,… Read the review → |
Strengths and trade-offs
Weaviate — where it wins
- Hybrid vector and BM25 keyword search with metadata filtering
- Cloud and self-hosted deployment with multiple index types
- REST, GraphQL, gRPC APIs and five official client-language options
Where it doesn't
- Free plan is limited to 100,000 objects and 1 GB memory
- Flex starts at $45 per month with a shared cloud cluster
- Premium requires a $400 monthly prepaid contract
Milvus — where it wins
- Supports hybrid dense-sparse search, BM25, and metadata filtering
- Offers HNSW, IVF, FLAT, DiskANN, and SCANN index types
- Runs locally, as a standalone server, or on distributed Kubernetes
Where it doesn't
- Self-hosted deployment requires operating the database infrastructure
- Support channels listed are community and documentation
- Managed cloud is a separate Zilliz Cloud service
- Weaviate8.7/10 · Free plan
A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.
Visit WeaviateFull verdict → - Milvus8.6/10 · Free plan
A flexible vector search foundation for teams that want open-source or self-hosted deployment.
Visit MilvusFull verdict →
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All ai databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







