An open-source Firebase alternative built on PostgreSQL. By 2026, it became a major player in 'AI Native' backend infrastructure, leveraging advanced pgvector c
Supabase is the open-source Firebase alternative that became the AI-app default backend: Postgres with auth, storage, realtime, edge functions, and pgvector built in, making it the fastest path to RAG-ready persistence. Vibe-coding tools generate against it by default, cementing its 2026 ubiquity.
Pricing: Free tier; Pro from ~$25/month plus usage; Team/Enterprise add compliance and support (published pricing, mid-2026).
Pinecone vs Supabase (pgvector) (2026): Supabase with pgvector covers a surprising share of production RAG: millions of vectors inside the Postgres you already run, one less service to operate. Pinecone earns its cost at high query throughput, very large indexes, and multi-tenant isolation. Start with pgvector; graduate the vector tier when scale demands it.
Comfortably into the millions of vectors with proper indexing (HNSW): covering most products. Beyond that, or at high QPS, teams graduate the vector tier to dedicated engines while keeping Supabase as system of record.
One service answers auth, data, files, and vectors with instant APIs: collapsing MVP backend work to hours. The AI tooling ecosystem reinforces it: generators target Supabase out of the box.