supabase-expert

Real-time applications with Supabase leverage PostgreSQL as the underlying database combined with Supabase's real-time subscriptions API. Set up a Supabase client, define your database schema, enable real-time on specific tables via RLS policies, and subscribe to changes using the client library. This delivers live data updates to frontend and backend without polling.

Supabase provides built-in authentication covering email/password, OAuth providers, magic links, and session management through Row-Level Security (RLS). Configure auth policies in PostgreSQL, use the Supabase auth client library, and manage user sessions automatically. RLS ensures data access is enforced at the database layer.

Yes. Supabase Storage handles file uploads, retrieval, and access control via signed URLs. Edge Functions run custom serverless code at the edge for API logic, webhooks, or transformations. Both integrate with authentication and can trigger on database changes via Postgres functions.

Export your PostgreSQL schema and data using pg_dump, then import into Supabase using the SQL editor or migrations workflow. Supabase is PostgreSQL-compatible, so standard migrations apply. Update connection strings in your application and test RLS policies and real-time subscriptions after import.

Yes, through pgvector extension integration. Store embeddings directly in PostgreSQL columns, query semantically similar results using vector similarity functions, and combine with Supabase auth and real-time for full-stack AI applications. Use edge functions or client libraries to generate and store embeddings.

Use the Supabase client library to perform CRUD operations with built-in error handling and type safety. Leverage PostgreSQL functions for complex queries, apply RLS policies for row-level access control, and use real-time subscriptions for reactive updates. This approach works consistently across frontend and backend stacks.