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Wednesday, January 15th 2025 · 4 min read

Prisma vs Drizzle: Which ORM Should You Choose for Your SaaS?

A comprehensive comparison of Prisma and Drizzle ORM for TypeScript applications. Learn the key differences in schema definition, queries, migrations, performance, and when to use each.

Choosing the right ORM (Object-Relational Mapper) is one of the most impactful decisions you'll make when building a SaaS application. The two most popular TypeScript ORMs today are Prisma and Drizzle—and they take fundamentally different approaches to database management.

In this guide, we'll break down the key differences, show real code examples, and help you decide which ORM is right for your project.

TL;DR - Quick Comparison

FeaturePrismaDrizzle
Schema DefinitionCustom .prisma DSLTypeScript
Query APICustom fluent APISQL-like + Relational
Type SafetyGenerated typesInferred from schema
Bundle Size~2MB+ (includes engine)~50KB (zero deps)
ServerlessRequires edge runtime setupNative support
Learning CurveLower (abstracted)Higher (SQL knowledge needed)
Raw SQLSupported but less ergonomicFirst-class citizen

Schema Definition

The first major difference is how you define your database schema.

Prisma Schema (schema.prisma)

Prisma uses its own Domain Specific Language (DSL) in a .prisma file:

prisma/schema.prisma
// Prisma Schemadatasource db {  provider = "postgresql"  url      = env("DATABASE_URL")}generator client {  provider = "prisma-client-js"}model User {  id        String   @id @default(cuid())  email     String   @unique  name      String?  createdAt DateTime @default(now())  updatedAt DateTime @updatedAt  posts     Post[]  profile   Profile?}model Post {  id        String   @id @default(cuid())  title     String  content   String?  published Boolean  @default(false)  createdAt DateTime @default(now())  author    User     @relation(fields: [authorId], references: [id])  authorId  String}model Profile {  id     String @id @default(cuid())  bio    String  user   User   @relation(fields: [userId], references: [id])  userId String @unique}

Drizzle Schema (TypeScript)

Drizzle schemas are pure TypeScript, giving you full IDE support:

src/db/schema.ts
import { relations } from 'drizzle-orm';import { boolean, pgTable, serial, text, timestamp } from 'drizzle-orm/pg-core';export const users = pgTable('users', {  id: text('id')    .primaryKey()    .$defaultFn(() => crypto.randomUUID()),  email: text('email').notNull().unique(),  name: text('name'),  createdAt: timestamp('created_at').defaultNow().notNull(),  updatedAt: timestamp('updated_at').defaultNow().notNull()});export const posts = pgTable('posts', {  id: text('id')    .primaryKey()    .$defaultFn(() => crypto.randomUUID()),  title: text('title').notNull(),  content: text('content'),  published: boolean('published').default(false).notNull(),  createdAt: timestamp('created_at').defaultNow().notNull(),  authorId: text('author_id')    .notNull()    .references(() => users.id)});export const profiles = pgTable('profiles', {  id: text('id')    .primaryKey()    .$defaultFn(() => crypto.randomUUID()),  bio: text('bio').notNull(),  userId: text('user_id')    .notNull()    .unique()    .references(() => users.id)});// Define relations separatelyexport const usersRelations = relations(users, ({ many, one }) => ({  posts: many(posts),  profile: one(profiles)}));export const postsRelations = relations(posts, ({ one }) => ({  author: one(users, { fields: [posts.authorId], references: [users.id] })}));export const profilesRelations = relations(profiles, ({ one }) => ({  user: one(users, { fields: [profiles.userId], references: [users.id] })}));

Winner: It depends on preference. Prisma's DSL is more concise and readable, while Drizzle's TypeScript approach offers better IDE integration and no context switching.

Querying Data

This is where the ORMs diverge significantly.

Prisma Queries

Prisma provides an intuitive, fluent API that abstracts away SQL:

lib/queries.ts
import { PrismaClient } from '@prisma/client';const prisma = new PrismaClient();// Find a user with their postsconst userWithPosts = await prisma.user.findUnique({  where: { email: 'john@example.com' },  include: {    posts: {      where: { published: true },      orderBy: { createdAt: 'desc' }    },    profile: true  }});// Create a user with a postconst newUser = await prisma.user.create({  data: {    email: 'jane@example.com',    name: 'Jane',    posts: {      create: {        title: 'My First Post',        content: 'Hello World!'      }    }  },  include: { posts: true }});// Update with nested writesconst updatedUser = await prisma.user.update({  where: { id: 'user-id' },  data: {    name: 'Updated Name',    posts: {      updateMany: {        where: { published: false },        data: { published: true }      }    }  }});// Complex filteringconst filteredPosts = await prisma.post.findMany({  where: {    OR: [      { title: { contains: 'prisma', mode: 'insensitive' } },      { content: { contains: 'prisma', mode: 'insensitive' } }    ],    AND: {      published: true    }  }});

Drizzle Queries

Drizzle offers two APIs: SQL-like and Relational.

SQL-like API (mirrors SQL closely):

lib/queries.ts
import { and, desc, eq, ilike, or } from 'drizzle-orm';import { db } from './db';import { posts, profiles, users } from './schema';// Find a user by emailconst user = await db  .select()  .from(users)  .where(eq(users.email, 'john@example.com'))  .limit(1);// Join users with postsconst usersWithPosts = await db  .select({    userId: users.id,    userName: users.name,    postTitle: posts.title  })  .from(users)  .leftJoin(posts, eq(users.id, posts.authorId))  .where(eq(posts.published, true))  .orderBy(desc(posts.createdAt));// Insert a userconst newUser = await db  .insert(users)  .values({    email: 'jane@example.com',    name: 'Jane'  })  .returning();// Update usersawait db  .update(users)  .set({ name: 'Updated Name' })  .where(eq(users.id, 'user-id'));// Complex filteringconst filteredPosts = await db  .select()  .from(posts)  .where(    and(      or(ilike(posts.title, '%prisma%'), ilike(posts.content, '%prisma%')),      eq(posts.published, true)    )  );

Relational Query API (Prisma-like):

lib/queries.ts
import { db } from './db';// Drizzle's relational queries - similar to Prisma's includeconst userWithPosts = await db.query.users.findFirst({  where: eq(users.email, 'john@example.com'),  with: {    posts: {      where: eq(posts.published, true),      orderBy: desc(posts.createdAt)    },    profile: true  }});// Find many with relationsconst allUsersWithPosts = await db.query.users.findMany({  with: {    posts: true  }});

Winner: Prisma for developer experience and abstraction. Drizzle for SQL control and flexibility. Drizzle's relational API brings the best of both worlds.

Migrations

Prisma Migrate

Prisma generates and manages migrations automatically:

Terminal
# Generate migration from schema changesnpx prisma migrate dev --name add_user_table# Apply migrations in productionnpx prisma migrate deploy# Reset database (dev only)npx prisma migrate reset

Migration files are SQL but managed by Prisma:

prisma/migrations/20240820_add_user_table/migration.sql
CREATE TABLE "User" (    "id" TEXT NOT NULL,    "email" TEXT NOT NULL,    "name" TEXT,    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,    "updatedAt" TIMESTAMP(3) NOT NULL,    CONSTRAINT "User_pkey" PRIMARY KEY ("id"));CREATE UNIQUE INDEX "User_email_key" ON "User"("email");

Drizzle Kit

Drizzle Kit provides similar functionality:

Terminal
# Generate migrationnpx drizzle-kit generate --name add_user_table# Push schema directly (dev only)npx drizzle-kit push# Apply migrationsnpx drizzle-kit migrate

Configuration in drizzle.config.ts:

drizzle.config.ts
import { defineConfig } from 'drizzle-kit';export default defineConfig({  dialect: 'postgresql',  schema: './src/db/schema.ts',  out: './drizzle',  dbCredentials: {    url: process.env.DATABASE_URL!  }});

Generated SQL:

drizzle/0000_add_user_table.sql
CREATE TABLE "users" (  "id" text PRIMARY KEY NOT NULL,  "email" text NOT NULL,  "name" text,  "created_at" timestamp DEFAULT now() NOT NULL,  "updated_at" timestamp DEFAULT now() NOT NULL,  CONSTRAINT "users_email_unique" UNIQUE("email"));

Winner: Tie. Both provide excellent migration tooling with automatic generation and deployment support.

Performance & Bundle Size

This is where Drizzle shines for serverless applications.

Prisma

  • Bundle size: ~2MB+ (includes Prisma Engine binary)
  • Cold start: Can be 1-3 seconds in serverless
  • Connection pooling: Requires Prisma Accelerate or external pooler
lib/prisma.ts
// Optimizing Prisma for serverlessimport { PrismaClient } from '@prisma/client';const globalForPrisma = globalThis as unknown as {  prisma: PrismaClient | undefined;};export const prisma =  globalForPrisma.prisma ??  new PrismaClient({    log: process.env.NODE_ENV === 'development' ? ['query'] : []  });if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma;

Drizzle

  • Bundle size: ~50KB (zero dependencies)
  • Cold start: Minimal overhead
  • Connection pooling: Works with any pool (native driver support)
lib/db.ts
// Drizzle with Neon serverlessimport { neon } from '@neondatabase/serverless';import { drizzle } from 'drizzle-orm/neon-http';import * as schema from './schema';const sql = neon(process.env.DATABASE_URL!);export const db = drizzle(sql, { schema });// Or with node-postgres for traditional serversimport { Pool } from 'pg';import { drizzle } from 'drizzle-orm/node-postgres';const pool = new Pool({ connectionString: process.env.DATABASE_URL });export const db = drizzle(pool, { schema });

Winner: Drizzle for serverless and edge deployments. Prisma is fine for traditional servers.

Type Safety

Both ORMs provide excellent TypeScript support, but differently.

Prisma Types

Prisma generates types from your schema:

lib/types.ts
import { Post, Prisma, User } from '@prisma/client';// Generated typestype UserWithPosts = Prisma.UserGetPayload<{  include: { posts: true };}>;// Input types for queriestype UserCreateInput = Prisma.UserCreateInput;type UserWhereInput = Prisma.UserWhereInput;// Use the validator for reusable query objectsconst userWithPostsQuery = Prisma.validator<Prisma.UserDefaultArgs>()({  include: { posts: true }});

Drizzle Types

Drizzle infers types directly from your TypeScript schema:

lib/types.ts
import { InferInsertModel, InferSelectModel } from 'drizzle-orm';import { posts, users } from './schema';// Inferred typestype User = InferSelectModel<typeof users>;type NewUser = InferInsertModel<typeof users>;type Post = InferSelectModel<typeof posts>;// Use with queriesconst user: User = await db  .select()  .from(users)  .limit(1)  .then((r) => r[0]);

Winner: Tie. Both provide excellent type safety, just through different mechanisms.

When to Choose Prisma

Choose Prisma if:

  • You want maximum abstraction from SQL
  • Your team has less SQL experience
  • You need Prisma Studio for data browsing
  • You prefer a declarative schema language
  • You're building a monolithic application
lib/users.ts
// Prisma excels at complex nested operationsconst result = await prisma.user.create({  data: {    email: 'user@example.com',    profile: { create: { bio: 'Hello!' } },    posts: {      createMany: {        data: [{ title: 'Post 1' }, { title: 'Post 2' }]      }    }  },  include: {    profile: true,    posts: true  }});

When to Choose Drizzle

Choose Drizzle if:

  • You want SQL-like control with type safety
  • You're deploying to serverless/edge
  • Bundle size and cold starts matter
  • You prefer schemas in TypeScript
  • You need raw SQL performance
lib/analytics.ts
// Drizzle excels at SQL-like operationsconst result = await db  .select({    category: posts.category,    count: sql<number>`count(*)`.as('count'),    avgLength: sql<number>`avg(length(${posts.content}))`.as('avg_length')  })  .from(posts)  .where(eq(posts.published, true))  .groupBy(posts.category)  .having(sql`count(*) > 5`)  .orderBy(desc(sql`count(*)`));

Our Choice at Achromatic

At Achromatic, we offer starter kits with both Prisma and Drizzle because different projects have different needs:

  • Prisma Kit: Best for teams who want a more abstracted, beginner-friendly ORM with excellent tooling.

  • Drizzle Kit: Best for serverless deployments, edge functions, and teams comfortable with SQL.

Both starter kits include:

  • Pre-configured database schemas for users, organizations, and billing
  • Type-safe queries throughout
  • Migration workflows set up
  • Multi-tenant architecture support

Conclusion

There's no universally "better" ORM—the choice depends on your priorities:

PriorityChoose
Developer experiencePrisma
SQL controlDrizzle
Serverless/EdgeDrizzle
Learning curvePrisma
Bundle sizeDrizzle
Tooling (Studio)Prisma

Both are excellent choices for building production TypeScript applications. The best ORM is the one that fits your team's skills and your deployment environment.


Ready to start building? Check out our production-ready starter kits with either Prisma or Drizzle pre-configured and ready to deploy.