pgvector vs Pinecone(2026)
pgvector is better for teams that need no new infrastructure. Pinecone is the stronger choice if easiest managed option. pgvector is open-source (from $0) and Pinecone is freemium (from $70/mo).
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.
pgvector
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 pgvectorPinecone
Pinecone is a fully managed vector database optimized for AI applications. Store, index, and search high-dimensional embeddings at scale with low latency — no infrastructure to manage.
Starting at $70/mo
Visit PineconeHow Do pgvector and Pinecone Compare on Features?
| Feature | pgvector | Pinecone |
|---|---|---|
| Pricing model | open-source | freemium |
| Starting price | $0 | $70/mo |
| PostgreSQL extension | ✓ | — |
| L2/inner product/cosine distance | ✓ | — |
| IVFFLAT indexing | ✓ | — |
| HNSW indexing | ✓ | — |
| Standard SQL | ✓ | — |
| Works with Supabase/RDS | ✓ | — |
| Exact + ANN search | ✓ | — |
| Fully managed | — | ✓ |
| Serverless option | — | ✓ |
| Metadata filtering | — | ✓ |
| Hybrid search (dense + sparse) | — | ✓ |
| Namespaces | — | ✓ |
| REST API | — | ✓ |
| Python/JS SDKs | — | ✓ |
pgvector Pros and Cons vs Pinecone
pgvector
Pinecone
Should You Use pgvector or Pinecone?
Choose pgvector if…
- •No new infrastructure
- •Works with existing Postgres
- •SQL interface
Choose Pinecone if…
- •Easiest managed option
- •Excellent performance at scale
- •Serverless tier available