pgvector vs Pinecone
PostgreSQL extension vs dedicated vector DB — when is pgvector enough?
Quick Recommendation
pgvector
Simplest StackChoose if you need:
- ✓You already use PostgreSQL and want to avoid adding another database
- ✓Your vector dataset is under 5M vectors
- ✓You need ACID transactions joining vectors with relational data
- ✓Minimizing infrastructure complexity is a priority
Pinecone
Best at ScaleChoose if you need:
- ✓You need purpose-built vector search at billions of vectors
- ✓Query latency under 10ms at high concurrency is required
- ✓You want serverless auto-scaling without managing PostgreSQL
- ✓Advanced features like namespaces and sparse-dense hybrid search matter
Side-by-Side Comparison
| Feature | pgvector | Pinecone |
|---|---|---|
| Architecture | PostgreSQL extension | Purpose-built vector DB |
| Setup | CREATE EXTENSION vector | API key, cloud dashboard |
| Indexing | IVFFlat, HNSW (v0.7+) | Proprietary ANN (optimized) |
| Scale | Best under 5-10M vectors | Billions of vectors |
| Query Latency | 10-50ms (depends on index, dataset) | 5-15ms (consistent) |
| SQL Support | Full PostgreSQL SQL | REST/gRPC API only |
| ACID Transactions | Yes (PostgreSQL native) | No (eventual consistency) |
| Pricing | Free (extension), hosting costs | Serverless from $0.08/1M reads |
Our Verdict
pgvector is the right choice when you already run PostgreSQL and your vector search needs are moderate -- under a few million vectors with standard latency requirements. It eliminates the operational overhead of running a second database. Pinecone becomes necessary when you outgrow pgvector's scale limits, need consistent low-latency at high concurrency, or want managed serverless scaling. For most mobile app backends using Supabase or a PostgreSQL host, start with pgvector and graduate to Pinecone only when you need to.
Frequently Asked Questions
Need help choosing between pgvector and Pinecone?
Our engineers have production experience with both tools. We can help you make the right choice based on your specific requirements, timeline, and budget.