pgvector (PostgreSQL Extension) vs Pinecone
Side-by-side from the Top 11 ranking of The 11 Best Vector Databases (2026). Last verified May 31, 2026.
The short answer
Pinecone ranks higher on Top 11 (#1 vs #11) for AI engineers building RAG and semantic search at scale. The top choice for a high-performance, fully managed vector database that just works.
At a glance
| pgvector (PostgreSQL Extension) | Pinecone | |
|---|---|---|
| Top 11 rank | #11 / The 11 Best Vector Databases (2026) | #1 / The 11 Best Vector Databases (2026) |
| Score (out of 9.4) | 7.2 | 9.2 |
| Best for | Vector search inside PostgreSQL | Managed performance at scale |
| Pricing | $ (Open source) | $$$ ($99 to custom/enterprise) |
| HQ | Open Source | New York, USA |
| Founded | — | 2019 |
pgvector (PostgreSQL Extension)
A pragmatic choice for adding vector search to an existing Postgres stack.
github.com/pgvector/pgvectorPinecone
The top choice for a high-performance, fully managed vector database that just works.
www.pinecone.ioMethodology and scoring weights live at /methodology. No vendor pays for placement — see about.