Comparison · Vector databases
Pinecone vs
pgvector.
pgvector keeps your vectors next to your relational data. One database to back up, one set of permissions, one query language. Pinecone wins only at extreme scale.
Vedwix verdict
Default to pgvector
When each wins · 01
Pick by use case.
When Pinecone wins
Pinecone
You need extreme scale (>50M vectors) and managed simplicity.
When pgvector wins
pgvector
Almost everyone — you already have Postgres.
Feature-by-feature · 02
Direct comparison.
| Feature | Pinecone | pgvector |
|---|---|---|
| Operational simplicity | Managed | Just Postgres |
| Cost | Higher | Free if you have PG |
| Hybrid search | Yes | Yes (full-text + vector) |
| Filters & joins | Limited | Native SQL |
| Scale ceiling | Very high | ~10-50M comfortable |
| Vendor lock-in | Yes | No |
Need help deciding?
We've shipped
both.
If you're evaluating these for a real project, we can walk through the trade-offs in 30 minutes — no sales pitch.
Talk to usVedwix take · 03
Our take.
Default to pgvector for RAG. Pinecone only when scale demands it — and most projects never do.