What This Stack Does
AI-powered applications have different database requirements than traditional web apps: they need vector search for RAG, edge-compatible connections for low-latency inference, serverless scaling for unpredictable workloads, and type-safe queries for reliable data pipelines.
PostgreSQL at Two Scales
Supabase provides the full backend platform: PostgreSQL with PostgREST APIs, authentication, realtime subscriptions, storage, and edge functions. The pg_vector extension enables vector similarity search for RAG applications. For teams that want one platform covering database, auth, and storage, Supabase reduces complexity dramatically.
Neon offers serverless PostgreSQL with branching, autoscaling to zero, and a generous free tier. Database branches work like Git branches — create a branch for development, test migrations safely, and merge to production. The serverless architecture means you pay only for actual query compute.
Edge Data and Type-Safe Queries
Turso provides edge-native SQLite using libSQL, running database replicas at CDN edge locations worldwide. For AI applications where inference latency matters, having the database at the same edge location as your inference server eliminates a round-trip. Embedded replicas enable offline-capable applications.
Drizzle ORM ties the stack together with type-safe TypeScript queries that look like SQL, minimal runtime overhead suitable for edge environments, and support for PostgreSQL, MySQL, and SQLite. Its lightweight architecture makes it compatible with serverless and edge deployments where bundle size matters.
The Bottom Line
The architecture: Supabase for your primary backend with auth and vectors, Neon branches for safe development workflows, Turso edge replicas for latency-sensitive reads, and Drizzle ORM for type-safe data access across all three.