Database Tools

Generate ORM models — Prisma, Drizzle, TypeORM, SQLAlchemy — from a SQL CREATE TABLE statement.

SQL to Prisma Schema

Generate a Prisma schema model from a SQL CREATE TABLE statement.

SQL to Drizzle Schema

Generate a Drizzle ORM schema from a SQL CREATE TABLE statement.

SQL to TypeORM Entity

Generate a TypeORM entity class from a SQL CREATE TABLE statement.

SQL to SQLAlchemy Model

Generate a SQLAlchemy declarative model from a SQL CREATE TABLE statement.

SQL to Sequelize Model

Generate a Sequelize model from a SQL CREATE TABLE statement.

Every tool in this category does the same conversion — a SQL CREATE TABLE statement in, a typed ORM model out — for five of the most widely used ORMs across the JavaScript/TypeScript and Python ecosystems. The parsing is shared: one SQL DDL parser extracts table and column structure (name, type, nullability, primary key, uniqueness, auto-increment, default expression, foreign key reference) once, and each target ORM has its own emitter that maps that structure onto its own syntax and conventions. That split is why all five tools handle edge cases the same way — an unmapped DEFAULT expression or a foreign key reference always surfaces as an explicit comment rather than a guess, regardless of which ORM you're generating for.

The five aren't interchangeable, and picking one is usually already decided by your stack — but here's how they actually differ:

  • Prisma — TypeScript/JavaScript. Schema-first: you write (or generate) a schema.prisma file, and Prisma's own migration engine generates SQL migrations from it. Strongest type safety of the group via a fully generated client, but the schema DSL is Prisma-specific — you're not writing plain TypeScript to define models.
  • Drizzle — TypeScript. Code-first and deliberately close to raw SQL: models are plain TypeScript objects, and Drizzle's query builder reads a lot like SQL itself with full type inference. Newer than the other four, with a smaller migration tool (drizzle-kit) and ecosystem, but the least "magic" of the TypeScript options if you want to reason about the actual queries being run.
  • TypeORM — TypeScript. Decorator-based (@Entity, @Column) and the most traditional "Active Record or Data Mapper" ORM in this list, closer in spirit to Hibernate or Doctrine than to Prisma or Drizzle. Mature and widely used in NestJS projects specifically, though its decorator-heavy style requires experimentalDecorators and has more implicit behavior (lazy loading, cascade rules) to learn than the code-first options.
  • SQLAlchemy — Python. The most mature and most flexible tool here by a wide margin, with two distinct APIs (Core, for hand-built SQL expressions, and the declarative ORM this generator targets). Nothing else in this list has SQLAlchemy's depth for complex queries, but that flexibility comes with a steeper learning curve than Django's ORM or a simpler dataclass-based approach.
  • Sequelize — JavaScript/TypeScript (Node). Older and more callback/Promise-era in its API design (sequelize.define) than Prisma or Drizzle, still widely deployed in existing Node codebases but rarely the choice for a new project today given the newer alternatives' better TypeScript inference.

Whichever target you generate for, treat the output as a first draft: foreign keys come through as a comment noting the referenced table and column, not a fully wired relation, since the relation's field name and cardinality aren't determined by the DDL alone — see the SQL to Prisma page's documentation for a worked example of exactly what is and isn't translated automatically.