Head to head
Pinecone vs Supabase Vector (pgvector)
As a vector database API, Pinecone rates higher on the APIbenchmarks Index, 87.5 to 85.2, a 2.3-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Pinecone | Supabase Vector (pgvector) |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 87.5 | 85.2 |
Specifications
| Pinecone | Supabase Vector (pgvector) | |
|---|---|---|
| Best for | Serverless vector search for production RAG | Postgres-native embeddings, no separate service |
| Free tier | Starter: 2GB storage (~350K vectors), 1 index, no SLA | Free project: 500MB DB, pgvector included |
| Pricing | Per read/write unit + storage | Bundled in Postgres plan (storage-based) |
| Official SDKs | 7 languages | 7 languages |
Is Pinecone better than Supabase Vector (pgvector)?
On the APIbenchmarks Index, Pinecone rates higher (87.5 vs 85.2). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.