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Supabase Vector vs Pinecone

Supabase Vector runs pgvector inside your Supabase Postgres — unified auth, storage, and vectors in one platform. Pinecone is a standalone vector service with better performance at scale. Supabase for full-stack apps that want vectors; Pinecone when vectors are the primary workload.

Supabase Vector

Supabase Vector

pgvector on Supabase — vectors in your Postgres

PostgreSQL / pgvectorApache-2.0 (Supabase)traditional

Key Features

  • pgvector integration
  • SQL-native vector queries
  • Supabase Auth & RLS
  • Edge Functions support
  • Realtime subscriptions
  • Dashboard & client libraries

Pricing

Free$0
Pro$25/mo
Team$599/mo
EnterpriseCustom

Use Cases

Full-stack AI appsStartup MVPs with vectorsAuthenticated RAGRapid prototyping
Pinecone

Pinecone

Serverless vector database for AI at scale

Managed ServiceProprietarycloud

Key Features

  • Serverless architecture
  • Hybrid sparse-dense search
  • Metadata filtering
  • Namespaces & multi-tenancy
  • Real-time index updates
  • SOC 2 Type II compliant

Pricing

Free$0
Standard~$0.45/GB/mo
EnterpriseCustom

Use Cases

Semantic searchRecommendation enginesRAG pipelinesAnomaly detection

Verdict

Supabase for full-stack apps that need vectors alongside Postgres. Pinecone for vector-first workloads.

Choose Supabase Vector if you need:

  • pgvector integration
  • SQL-native vector queries
  • Supabase Auth & RLS

Choose Pinecone if you need:

  • Serverless scaling and managed operations
  • Serverless architecture
  • Hybrid sparse-dense search
  • Metadata filtering

Other comparisons