Pinecone vs Supabase pgvector: Which Vector DB for Your RAG App?

Every RAG application needs a vector database. The two most popular choices are Pinecone (managed, purpose-built) and Supabase pgvector (PostgreSQL-integrated, open source). Here is how to choose.

Start with Supabase if: you already use PostgreSQL, you want to store structured data alongside vectors in one database, you are on a tight budget (free tier), or you want open-source with full data portability.

Start with Pinecone if: you need to scale to tens of millions of vectors, you want zero infrastructure management, you need the hybrid search feature (dense + sparse combined), or you are building a pure vector-search product.

Performance at scale: Pinecone's serverless architecture handles horizontal scale automatically. Supabase pgvector performance degrades noticeably above ~500K vectors on the free/pro tier without careful index tuning.

Cost comparison: Supabase free tier stores 500MB (roughly 500K 1536-dim embeddings). Pinecone free tier: 100 index namespaces, 5M vectors. At 10M+ vectors, Pinecone serverless ($0.04/1M reads) is often cheaper than Supabase Pro + compute add-ons.

Our recommendation: start with Supabase, migrate to Pinecone when you exceed 1M vectors or need sub-100ms P99 latency at scale.