pgvector (Postgres)
7.0/10Save $72/yrBest Pinecone alternative for Postgres teams, vector search in same DB
Postgres extension adding vector search to Postgres on Supabase, Neon, RDS.
| Plan | Monthly | Annual | What you get |
|---|---|---|---|
| OSS extension | Free | — | Postgres extension with HNSW and IVFFlat indexes for hybrid SQL plus vector queries. |
| Supabase Free | Free | — | 500MB Postgres with pgvector for up to ~5M small vectors free permanently. |
| Neon Launch | $19.00/mo | $228.00/yr | $19 monthly with 10GB autoscaling Postgres and pgvector built in. |
| AWS RDS / Aurora | Free | $0.00/yr | Standard RDS pricing with pgvector preinstalled for combined relational data. |
pgvector is the Postgres-bundled Pinecone alternative and the right call for teams already running Postgres. Open-source under Apache 2.0 since 2021. The wedge for Pinecone migrators: vector search adds to the Postgres database the team already runs, the only catalog Pinecone alternative where vector search lives alongside relational data without operational overhead of a second database.
OSS extension ships free as a Postgres extension on any deployment. Supabase Free covers five hundred megabyte Postgres with pgvector for around five million small vectors. Neon Launch is the upgrade tier at nineteen dollars monthly with ten gigabyte autoscaling Postgres and pgvector built in. AWS RDS ships pgvector preinstalled. Most Postgres-team Pinecone migrators land on Supabase Free or Neon Launch.
The trade-off versus Qdrant is performance ceiling; pgvector handles up to around fifty million vectors comfortably while Qdrant scales further. The trade-off versus Pinecone is feature breadth; pgvector lacks managed serverless, multi-region replication beyond Postgres, and dedicated vector-DB observability. For Pinecone migrators already on Postgres, pgvector is the right call.
Pros
- Adds vector search to existing Postgres deployment with zero new infrastructure
- Hybrid SQL plus vector queries combine in one database for relational-RAG patterns
- Free on Supabase 500MB tier; Neon Launch at nineteen dollars monthly upgrade
- Apache 2.0 OSS with broad ecosystem and mature production deployments
- Eliminates a new database, query language, auth model, and backup procedures
Cons
- Scale ceiling around fifty million vectors; dedicated DBs win at higher scale
- No native managed-vector-DB features beyond what Postgres provides
Best for: Pinecone migrators already on Postgres who want vector search added to the same database without a second DB.
- OSS license & sovereignty
- 9
- Query performance
- 8
- Setup complexity
- 9
- Value
- 10
- Support
- 8