Weaviate vs pgvector(2026)
Weaviate is better for teams that need richest feature set. pgvector is the stronger choice if no new infrastructure. Weaviate is open-source (from $0) and pgvector is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram Nath
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Weaviate
Weaviate is an open-source vector database with built-in ML model integrations, graph-like data structures, and hybrid search — available self-hosted or as a managed cloud service.
Starting at $0
Visit Weaviatepgvector
pgvector adds vector similarity search directly to PostgreSQL — store embeddings alongside your relational data and run nearest-neighbor searches with standard SQL.
Starting at $0
Visit pgvectorHow Do Weaviate and pgvector Compare on Features?
| Feature | Weaviate | pgvector |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Open source | ✓ | — |
| Built-in vectorization modules | ✓ | — |
| Hybrid search (BM25 + vector) | ✓ | — |
| GraphQL API | ✓ | — |
| Multi-tenancy | ✓ | — |
| Self-hostable | ✓ | — |
| Managed cloud | ✓ | — |
| PostgreSQL extension | — | ✓ |
| L2/inner product/cosine distance | — | ✓ |
| IVFFLAT indexing | — | ✓ |
| HNSW indexing | — | ✓ |
| Standard SQL | — | ✓ |
| Works with Supabase/RDS | — | ✓ |
| Exact + ANN search | — | ✓ |
Weaviate Pros and Cons vs pgvector
Weaviate
pgvector
Should You Use Weaviate or pgvector?
For most teams, Weaviate is the better default: it offers richest feature set and is open-source (from $0). Choose pgvector instead if no new infrastructure matters more than complex setup. There is no universal winner — the right pick depends on your budget, team size, and whether you value richest feature set or no new infrastructure more.
Choose Weaviate if…
- •Richest feature set
- •Built-in ML model support
- •Graph-like traversal
Choose pgvector if…
- •No new infrastructure
- •Works with existing Postgres
- •SQL interface