database-schema-designer

Designing a normalized PostgreSQL schema involves translating feature requirements into structured tables, relationships, and constraints. This process prevents broken relationships and yields migration-ready models for production workflows.

Yes, generating Drizzle migrations with RLS policies is supported. The schema design process integrates multi-tenancy, audit trails, and Row-Level Security policies directly into your migration-ready ORM outputs.

Planning multi-tenancy and soft deletes requires mapping advanced data architecture patterns into your table structures. This schema design approach integrates isolation strategies and audit trails directly into constraints and relationships.

Yes, this database schema design approach supports Prisma and TypeORM outputs. It translates table structures and constraints into implementation patterns tailored for these specific ORM and migration tools.

Creating an ERD with proper indexes and seed data involves converting feature requirements into structured table relationships and constraints. This generates a visual schema plan alongside initial seed data for production readiness.