Drizzle ORM
If you know SQL, you know Drizzle ORM
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 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 🚀Give it a try and let us know if you have any questions or feedback on Discord.
Feature list
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
Supported databases
| Database | Status |
|---|---|
| :--- | :--- |
| PostgreSQL | ✅ |
| MySQL | ✅ |
| SQLite | ✅ |
| Cloudflare D1 | ✅ |
| libSQL | ✅ |
| Turso | ✅ |
| Vercel Postgres | ✅ |
| DynamoDB | ⏳ |
| MS SQL | ⏳ |
| CockroachDB | ⏳ |
Our sponsors ❤️
Installation
- ``` shell
- npm install drizzle-orm
- npm install -D drizzle-kit
- ```
Feature showcase (PostgreSQL)
Note: don't forget to install pg and @types/pg packages for this example to work.
- ``` ts
- 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! 😱
- 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:
PostgreSQL
MySQL
SQLite