Vector Database Comparison Table 2026: Full Feature Matrix (8 Databases)

The full feature matrix: filtering, hybrid search, cloud options, and APIs for 8 vector databases.

## Vector Database Comparison Table 2026 Beyond star counts, these are the technical features that decide your architecture. Data reflects each project's documented capabilities in mid-2026. ### Feature matrix | Feature | Qdrant | Milvus | Weaviate | pgvector | Chroma | Typesense | Vespa | |---------|--------|--------|----------|----------|--------|-----------|-------| | Filtering | Rich | Rich | Rich | SQL | Basic | Rich | Rich | | Hybrid search | Yes | Yes | Yes | via pg | No | Yes | Yes | | Built-in embedding | No | No | Yes | No | Yes | No | No | | Cloud managed | Yes | Yes | Yes | Yes | No | Yes | Yes | | HNSW index | Yes | Yes | Yes | Yes | Yes | Yes | Yes | | Multi-tenancy | Yes | Yes | Yes | SQL | Basic | Yes | Yes | | Language | Rust | Go | Go | C | Python | C++ | Java | ### Key differences explained - **Filtering**: Qdrant and Milvus handle metadata filters (price, category) without killing recall; Chroma's filtering is basic - **Hybrid search**: combining keyword BM25 with vectors - Typesense and Weaviate make it one query - **Built-in embedding**: Chroma and Weaviate can embed text for you, saving a separate pipeline - **Multi-tenancy**: isolating customers' vectors - important for SaaS ### How to read the table If you need heavy filtering plus scale, pick Qdrant or Milvus. If you want the least code, pick Chroma. If you need keyword + vector in one engine, Typesense. ### FAQ **What is HNSW?** Hierarchical Navigable Small World - the graph index that makes ANN search fast; all 7 support it. **Can I migrate later?** Yes - all support exporting vectors, but filter syntax differs, so budget migration time.