database-schema-designer

To design a multi-tenant database schema with row-level security, you define relational tables, constraints, and RLS policies directly from your application requirements. This process generates schema plans, access control definitions, and seed data for testing.

Generating database migrations and type definitions from schema requirements involves normalizing data into tables and outputting framework-specific migration files. You get TypeScript interfaces, Python models, and schema versioning artifacts for Drizzle, Prisma, TypeORM, or Alembic.

Creating an entity relationship diagram for a relational database schema involves translating your structured requirements into normalized tables and constraints. The schema design process outputs Mermaid ERD visualizations alongside your migration files and type definitions.

Yes, you can generate seed data and soft delete policies for a multi-tenant database. By applying your schema requirements, the design process produces realistic test data, auditing structures, and policy-driven access control rules.

Yes, the database schema designer works with Prisma and Alembic migration tools. It supports generating migration files for Drizzle, Prisma, TypeORM, and Alembic, alongside TypeScript and Python type definitions based on your relational schema.

Optimizing database schema performance and normalization involves structuring tables with proper relationships, indexing strategies, and constraints. The schema design process satisfies normalization requirements and outputs optimized migration artifacts and policy definitions.