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