Qdrant vs pgvector(2026)
Qdrant is better for teams that need best raw performance. pgvector is the stronger choice if no new infrastructure. Qdrant is open-source (from $0) and pgvector is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
Affiliate disclosure: Some “Visit” links on this page are affiliate links. We may earn a commission if you sign up — at no extra cost to you. It does not affect our rankings or editorial coverage. Learn more.
Qdrant
Qdrant is a high-performance vector similarity search engine written in Rust. It offers rich filtering, payload indexing, and a managed cloud — built for production AI applications.
Starting at $0
Visit Qdrantpgvector
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 Qdrant and pgvector Compare on Features?
| Feature | Qdrant | pgvector |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Rust-based (fast) | ✓ | — |
| Rich payload filtering | ✓ | — |
| Named vectors | ✓ | — |
| Managed cloud | ✓ | — |
| gRPC + REST | ✓ | — |
| Multi-tenancy | ✓ | — |
| Quantization support | ✓ | — |
| PostgreSQL extension | — | ✓ |
| L2/inner product/cosine distance | — | ✓ |
| IVFFLAT indexing | — | ✓ |
| HNSW indexing | — | ✓ |
| Standard SQL | — | ✓ |
| Works with Supabase/RDS | — | ✓ |
| Exact + ANN search | — | ✓ |
Qdrant Pros and Cons vs pgvector
Qdrant
pgvector
Should You Use Qdrant or pgvector?
Choose Qdrant if…
- •Best raw performance
- •Rich filtering options
- •Low memory footprint
Choose pgvector if…
- •No new infrastructure
- •Works with existing Postgres
- •SQL interface