drizzle

Defining a TypeScript database schema as code involves writing TypeScript objects that represent your tables and columns, ensuring end-to-end type safety from schema definition to SQL query execution. This approach reduces boilerplate and prevents type mismatches.

Generating database migrations for PostgreSQL or MySQL involves creating snapshot files of your TypeScript schema definitions. These migration files track incremental schema changes, allowing you to apply or roll back database structure updates safely across different environments.

Yes, this TypeScript ORM works directly with SQLite, PostgreSQL, and MySQL. It provides native integration for all three databases, allowing you to build type-safe SQL queries and manage schema migrations seamlessly across any of these supported platforms.

The best way to build type-safe SQL queries in TypeScript is using a schema-as-code approach. By defining your database schema directly in TypeScript files, the query builder automatically infers types, ensuring that your SQL queries are fully type-checked at compile time.

Using a schema-as-code approach instead of raw SQL eliminates boilerplate and improves developer experience by providing strict type safety. It ensures your TypeScript types and database schema remain synchronized, preventing runtime errors caused by structural mismatches in SQL queries.