database

Supabase row-level security (RLS) for multi-tenant apps requires enabling RLS by default on all tables and writing strict data isolation policies. You enforce access control through a server-side service layer to maintain secure boundaries and auditable changes.

Zod schemas can serve as the single source of truth for Supabase data validation by defining all data models, types, and validation rules in one place. This ensures consistent validation across server-side data access layers and client boundaries.

The best way to structure a Supabase backend with server and client separation is through a dedicated service layer. This architecture enforces server-side data access patterns, robust error handling, and validated data access while keeping client interactions strictly controlled.

This database design approach handles migrations and indexing for scalable Supabase apps by applying comprehensive data access patterns. It incorporates performance considerations, safe RLS defaults, and auditable schema changes across your migrations.

You need a service layer for data access control with Supabase RLS to enforce clear server and client boundaries. RLS secures the database rows directly, while the service layer manages robust error handling and Zod-based validation before data modification.

Relying solely on Supabase RLS without Zod schema validation limits your ability to guarantee data integrity at the application edge. Integrating Zod as the single source of truth ensures consistent type checking and validation before data reaches the database layer.