Database Schema Designer

To generate a database schema from natural language, describe your data models and relationships in plain text. The system translates these requirements into normalized relational schemas, creating core tables and defining relationships automatically for efficient data modeling.

Yes, you can generate ORM models and SQL migrations for Prisma, Drizzle, TypeORM, and SQLAlchemy. The process creates framework-specific migration files, TypeScript or Python types, and seed data directly from your designed schema.

Setting up Row-Level Security (RLS) policies for multi-tenancy involves generating specific SQL policies that isolate data per tenant. The system designs these RLS policies alongside your schema to ensure secure data isolation across your application.

The best way to add soft deletes and audit trails to a SQL schema is by defining these requirements during the initial design phase. The system incorporates soft deletion flags and audit trail columns directly into your generated migrations and ORM models.

Yes, this database schema design approach supports SaaS applications by providing multi-tenancy features, secure RLS policies, and structured relational schemas for user management, projects, and tasks. It generates the necessary code artifacts for SaaS data isolation.