Compare listed plans and check current offer terms with Supabase Vector
The catalog lists this free option; confirm its current limits and eligibility with Supabase Vector
💡 Pro tip: Start with the free tier to test if Supabase Vector fits your workflow before upgrading to a paid plan.
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If Supabase Vector's pricing doesn't fit your budget, consider these ai memory & search alternatives:
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Weaviate review of vector and hybrid search, managed and open-source deployment, current cloud pricing, advantages, tradeoffs, and practical RAG use cases.
Free tier available
✓ Free plan available
Supabase Vector inherits PostgreSQL's mature reliability features: WAL-based crash recovery, point-in-time restore, and read replicas. The managed platform provides automatic daily backups, monitoring dashboards, and connection pooling via PgBouncer. High availability with automatic failover is available on Pro and Enterprise plans.
Yes. Since Supabase Vector is built on pgvector and PostgreSQL, you can self-host by running PostgreSQL with the pgvector extension on any infrastructure. Supabase itself is open-source and can be self-hosted via Docker. The self-hosted route requires manually configuring the Supabase stack (PostgREST, GoTrue, etc.) and managing PostgreSQL operations.
Supabase pricing is based on database size, compute, and bandwidth. Vector operations don't incur separate charges. Optimize by choosing smaller embedding dimensions (e.g., 384 instead of 1536), using HNSW indexes instead of exact search for large tables, and implementing caching for frequent queries. The free tier includes 500MB of database storage, sufficient for tens of thousands of embeddings.
Supabase Vector trades raw vector search performance at scale for platform simplicity. If your application already uses Supabase for auth, storage, and APIs, adding vector search is nearly frictionless. Pinecone and Qdrant will outperform pgvector for datasets with tens of millions of vectors and offer features like automatic scaling, quantization, and horizontal sharding that pgvector lacks.
Very low. Your vector data, indexes, and SQL queries work on any PostgreSQL instance with pgvector installed. The Supabase platform features (Auth, Edge Functions, real-time) create some coupling, but the core vector functionality is portable. Export using standard pg_dump or COPY commands.
Start with the free tier and upgrade when you need more features
Get Started with Supabase Vector →Listed prices may change. Confirm current prices and offer terms with the vendor.