Drizzle ORM is a TypeScript ORM for SQL databases designed with maximum type safety in mind. It comes with a drizzle-kit CLI companion for automatic SQL migrations generation. Drizzle ORM is meant to be a library, not a framework. It stays as an opt-in solution all the time at any levels. The ORM's main philosophy is "If you know SQL, you know Drizzle ORM". We follow the SQL-like syntax whenever possible, are strongly typed ground up, and fail at compile time, not in runtime.
Drizzle ORM is being battle-tested on production projects by multiple teams π Give it a try and let us know if you have any questions or feedback on Discord.
- Full type safety
- Smart automated migrations generation
- No ORM learning curve
- SQL-like syntax for table definitions and queries
- Best in class fully typed joins
- Fully typed partial and non-partial selects of any complexity
- Auto-inferring of TS types for DB models for selections and insertions separately
- Zod schema generation
- Zero dependencies
Check the full documentation on the website
Database | Support | ||
---|---|---|---|
PostgreSQL | β | Docs | |
MySQL | β | Docs | |
SQLite | β | Docs | |
Cloudflare D1 | β | Docs | Website |
libSQL | β | Docs | Website |
Turso | β | Docs | Website |
PlanetScale | β | Docs | Website |
Neon | β | Docs | Website |
Vercel Postgres | β | Docs | Website |
DynamoDB | β³ | ||
MS SQL | β³ | ||
CockroachDB | β³ |
npm install drizzle-orm
npm install -D drizzle-kit
Note: don't forget to install
pg
and@types/pg
packages for this example to work.
import { drizzle } from 'drizzle-orm/node-postgres';
import { integer, pgTable, serial, text, timestamp, varchar } from 'drizzle-orm/pg-core';
import { InferModel, eq, sql } from 'drizzle-orm';
import { Pool } from 'pg';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
fullName: text('full_name').notNull(),
phone: varchar('phone', { length: 20 }).notNull(),
role: text('role', { enum: ['user', 'admin'] }).default('user').notNull(),
cityId: integer('city_id').references(() => cities.id),
createdAt: timestamp('created_at').defaultNow().notNull(),
updatedAt: timestamp('updated_at').defaultNow().notNull(),
});
export type User = InferModel<typeof users>;
export type NewUser = InferModel<typeof users, 'insert'>;
export const cities = pgTable('cities', {
id: serial('id').primaryKey(),
name: text('name').notNull(),
});
export type City = InferModel<typeof cities>;
export type NewCity = InferModel<typeof cities, 'insert'>;
const pool = new Pool({
connectionString: 'postgres://user:password@host:port/db',
});
const db = drizzle(pool);
// Insert
const newUser: NewUser = {
fullName: 'John Doe',
phone: '+123456789',
};
const insertedUsers /* : User[] */ = await db.insert(users).values(newUser).returning();
const insertedUser = insertedUsers[0]!;
const newCity: NewCity = {
name: 'New York',
};
const insertedCities /* : City[] */ = await db.insert(cities).values(newCity).returning();
const insertedCity = insertedCities[0]!;
// Update
const updateResult /* : { updated: Date }[] */ = await db.update(users)
.set({ cityId: insertedCity.id, updatedAt: new Date() })
.where(eq(users.id, insertedUser.id))
.returning({ updated: users.updatedAt });
// Select
const allUsers /* : User[] */ = await db.select().from(users);
// Select custom fields
const upperCaseNames /* : { id: number; name: string }[] */ = await db
.select({
id: users.id,
name: sql<string>`upper(${users.fullName})`,
})
.from(users);
// Joins
// You wouldn't BELIEVE how SMART the result type is! π±
const allUsersWithCities = await db
.select({
id: users.id,
name: users.fullName,
city: {
id: cities.id,
name: cities.name,
},
})
.from(users)
.leftJoin(cities, eq(users.cityId, cities.id));
// Delete
const deletedNames /* : { name: string }[] */ = await db.delete(users)
.where(eq(users.id, insertedUser.id))
.returning({ name: users.fullName });
See full docs for further reference: