Drizzle Schema vs Prisma Schema — Key Differences

Drizzle vs Prisma: Two Approaches to Schema Definition

When migrating from SQL, developers often choose between Drizzle ORM and Prisma. While both are type-safe TypeScript ORMs, they take fundamentally different approaches to schema definition.

Schema Language

Prisma uses its own domain-specific language (DSL) in .prisma files:

model User {
  id    Int     @id @default(autoincrement())
  email String  @unique
  name  String
}

Drizzle uses plain TypeScript:

export const users = pgTable("users", {
  id: serial("id").primaryKey(),
  email: varchar("email", { length: 255 }).notNull().unique(),
  name: varchar("name", { length: 100 }).notNull(),
});

Key Differences

Aspect	Drizzle	Prisma
Schema format	TypeScript code	Custom DSL (.prisma)
Type mapping	Explicit column builders	Prisma scalar types
Nullable fields	Default (omit .notNull())	Add ? suffix
Name mapping	SQL name as string arg	@map / @@map
Relations	Separate relations() API	Inline @relation
Code generation	Not required	prisma generate needed
SQL awareness	Dialect-specific builders	Provider abstraction

When Drizzle Shines

Drizzle's schema-as-code approach means your schema is composable TypeScript. You can use loops, conditionals, and shared utility functions to build schema definitions programmatically. There is no build step or code generation required — the schema types are available directly.

When Prisma Shines

Prisma's DSL is more concise and abstracts away dialect differences. Its migration system and Prisma Studio GUI provide a polished developer experience. Relations are defined inline rather than in separate files.

Conversion Considerations

When converting SQL to Drizzle, the column types stay close to the database reality — you see varchar, integer, and timestamp rather than abstract types like String or DateTime. This gives you more control over the exact database types used.