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Vector Databases comparison · 2026
Weaviate (86) and Milvus (82) are closely matched — this is one of the tightest Vector Databases comparisons in our database, with just 4 points separating them overall. Weaviate leads on Ecosystem (88 vs 75), while Milvus has the edge on Scalability (98 vs 85). The two are closest on Price / Value, where the gap is just 3 points. Both offer a free tier, making either a low-risk starting point. Use the radar chart and dimension table below to find which fits your specific priorities best.
Weaviate
Open-source vector database with built-in hybrid search
86/100
Milvus
Enterprise-grade open-source vector database at massive scale
82/100
Radar comparison
Weaviate
86
Milvus
82
Developer UX
SDK quality, indexing API, and setup speed.
Query Performance
ANN search speed and recall accuracy at scale.
Scalability
Index size limits and horizontal scaling for billions of vectors.
Price / Value
Cost per million vectors and free tier generosity.
Hybrid Search
Combining vector similarity with keyword/metadata filtering.
Ecosystem
LangChain/LlamaIndex integrations and framework support.
Overall Score
Based on our independent scoring across 6 dimensions, Weaviate scores 86/100 overall versus Milvus's 82/100 — a 4-point margin. Weaviate leads on Hybrid Search in particular. That said, Milvus may still be the right choice if the dimensions where it scores higher match your specific priorities — the radar chart above shows the full profile side by side.
Both Weaviate and Milvus offer a free tier, so entry-level cost is not a differentiating factor. Compare the feature and usage limits of each free plan to see which gives you more headroom before a paid upgrade is needed.
Weaviate scores higher on Developer UX — 85/100 versus 65/100 for Milvus. If developer ux is your primary decision criterion, Weaviate is the stronger choice in this head-to-head.
Switching between vector databases tools is generally possible but involves migration effort: exporting your data or configuration from Weaviate, re-importing or reconfiguring in Milvus, and updating any API integrations or environment variables in your codebase. The effort scales with how deeply embedded the tool is in your stack. Test Milvus on a non-production project first before migrating.
Weaviate (86/100) is the better fit for teams who prioritise hybrid search — its strongest dimension — and who want a free entry point. Milvus (82/100) is the better fit for teams who prioritise scalability and want a free entry point. If both dimensions matter equally, the overall score winner (Weaviate) is the safer default choice.
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