Best ORMs for Node.js in 2025: Prisma vs Drizzle vs TypeORM
Compare the top Node.js ORMs including Prisma, Drizzle, and TypeORM. Learn which ORM fits your project based on performance, type safety, and developer experience.
Why ORMs Matter
Object-Relational Mappers (ORMs) bridge the gap between your application code and database. According to the State of JS 2024, Prisma leads with 65% usage among Node.js developers, while Drizzle has surged to 28% with the highest satisfaction rating.
Choosing the right ORM impacts development speed, application performance, and long-term maintainability.
Quick Comparison
| Feature | Prisma | Drizzle | TypeORM |
|---|---|---|---|
| Type Safety | Excellent | Excellent | Good |
| Bundle Size | ~2MB | ~50KB | ~1MB |
| Learning Curve | Easy | Medium | Medium |
| Edge/Serverless | Good | Excellent | Poor |
| Migrations | Built-in | Built-in | Built-in |
| Raw SQL | Supported | Native | Supported |
Prisma: The Modern Standard
Prisma has become the go-to ORM for TypeScript projects, used by companies like Netflix, Notion, and Hashicorp.
Key Features
- Type-Safe Queries: Auto-generated types from your schema
- Prisma Studio: Visual database browser and editor
- Declarative Migrations: Schema-first approach
- Prisma Accelerate: Global database caching
- Prisma Pulse: Real-time database subscriptions
Schema Definition
// schema.prisma
model User {
id Int @id @default(autoincrement())
email String @unique
name String?
posts Post[]
createdAt DateTime @default(now())
}
model Post {
id Int @id @default(autoincrement())
title String
content String?
published Boolean @default(false)
author User @relation(fields: [authorId], references: [id])
authorId Int
}
Query Examples
// Find users with their posts
const users = await prisma.user.findMany({
where: {
email: { contains: '@company.com' }
},
include: {
posts: {
where: { published: true },
orderBy: { createdAt: 'desc' }
}
}
});
// Create with relations
const user = await prisma.user.create({
data: {
email: 'alice@example.com',
name: 'Alice',
posts: {
create: [
{ title: 'Hello World', published: true }
]
}
},
include: { posts: true }
});
// Transaction
const [user, post] = await prisma.$transaction([
prisma.user.create({ data: { email: 'bob@example.com' } }),
prisma.post.create({ data: { title: 'New Post', authorId: 1 } })
]);
Prisma Strengths
- Best-in-class developer experience
- Excellent autocomplete and error messages
- Visual database management with Prisma Studio
- Strong community and documentation
- Works with PostgreSQL, MySQL, SQLite, MongoDB, SQL Server
Prisma Limitations
- Larger bundle size (~2MB)
- Requires code generation step
- Cold starts can be slower in serverless
- Some advanced SQL features require raw queries
Drizzle: The Performance Champion
Drizzle has emerged as the performance-focused alternative, gaining rapid adoption in 2024-2025.
Key Features
- SQL-Like Syntax: Feels like writing SQL in TypeScript
- Zero Dependencies: Minimal bundle size (~50KB)
- Edge Ready: Optimized for serverless and edge
- No Code Generation: Types inferred at runtime
- Relational Queries: Prisma-like API available
Schema Definition
// schema.ts
import { pgTable, serial, text, boolean, timestamp, integer } from 'drizzle-orm/pg-core';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
email: text('email').unique().notNull(),
name: text('name'),
createdAt: timestamp('created_at').defaultNow()
});
export const posts = pgTable('posts', {
id: serial('id').primaryKey(),
title: text('title').notNull(),
content: text('content'),
published: boolean('published').default(false),
authorId: integer('author_id').references(() => users.id)
});
Query Examples
// SQL-like queries
const activeUsers = await db
.select()
.from(users)
.where(eq(users.email, 'alice@example.com'));
// Joins
const usersWithPosts = await db
.select({
user: users,
post: posts
})
.from(users)
.leftJoin(posts, eq(users.id, posts.authorId))
.where(eq(posts.published, true));
// Insert
const newUser = await db
.insert(users)
.values({ email: 'bob@example.com', name: 'Bob' })
.returning();
// Relational queries (Prisma-like API)
const result = await db.query.users.findMany({
with: {
posts: {
where: eq(posts.published, true)
}
}
});
Drizzle Strengths
- Fastest query execution
- Smallest bundle size (50x smaller than Prisma)
- Best for edge and serverless deployments
- SQL knowledge transfers directly
- No build step required
Drizzle Limitations
- Steeper learning curve for non-SQL developers
- Smaller ecosystem and community
- Less mature than Prisma
- Documentation still improving
TypeORM: The Enterprise Veteran
TypeORM remains popular in enterprise environments, especially for teams coming from Java/C# backgrounds.
Key Features
- Decorator-Based: Familiar to Java/C# developers
- Active Record & Data Mapper: Multiple patterns
- Mature Ecosystem: Years of production use
- Database Support: Widest compatibility
Entity Definition
// user.entity.ts
import { Entity, PrimaryGeneratedColumn, Column, OneToMany } from 'typeorm';
@Entity()
export class User {
@PrimaryGeneratedColumn()
id: number;
@Column({ unique: true })
email: string;
@Column({ nullable: true })
name: string;
@OneToMany(() => Post, post => post.author)
posts: Post[];
@CreateDateColumn()
createdAt: Date;
}
Query Examples
// Repository pattern
const users = await userRepository.find({
where: { email: Like('%@company.com') },
relations: ['posts'],
order: { createdAt: 'DESC' }
});
// Query Builder
const users = await userRepository
.createQueryBuilder('user')
.leftJoinAndSelect('user.posts', 'post')
.where('post.published = :published', { published: true })
.getMany();
// Active Record pattern
const user = new User();
user.email = 'alice@example.com';
await user.save();
TypeORM Strengths
- Familiar to enterprise developers
- Supports multiple patterns (Active Record, Data Mapper)
- Widest database support
- Mature with extensive documentation
TypeORM Limitations
- Larger bundle size
- Slower cold starts
- Type safety not as strong as Prisma/Drizzle
- Development has slowed recently
Performance Benchmarks
Based on community benchmarks:
| Operation | Prisma | Drizzle | TypeORM |
|---|---|---|---|
| Simple Select | 2.1ms | 0.8ms | 3.2ms |
| Select with Join | 4.5ms | 1.9ms | 6.1ms |
| Insert (single) | 3.2ms | 1.2ms | 4.8ms |
| Insert (batch 100) | 45ms | 18ms | 72ms |
| Cold Start | 800ms | 150ms | 1200ms |
| Bundle Size | ~2MB | ~50KB | ~1MB |
Key Takeaway: Drizzle is 2-3x faster than Prisma and 4-5x faster than TypeORM in most operations.
Edge & Serverless Compatibility
| Environment | Prisma | Drizzle | TypeORM |
|---|---|---|---|
| Vercel Edge | Limited | Full | No |
| Cloudflare Workers | Limited | Full | No |
| AWS Lambda | Good | Excellent | Good |
| Deno Deploy | No | Yes | No |
| Bun | Yes | Yes | Partial |
Migration Strategies
From TypeORM to Prisma
- Generate Prisma schema from existing database
- Update queries incrementally
- Remove TypeORM decorators
- Run Prisma migrations
From Prisma to Drizzle
- Convert Prisma schema to Drizzle schema
- Update query syntax (more SQL-like)
- Remove Prisma client generation
- Use Drizzle Kit for migrations
When to Choose Each
Choose Prisma When
- Developer experience is top priority
- Team is new to databases/SQL
- Need visual database tools
- Building with Next.js or similar
- Want strong community support
Choose Drizzle When
- Performance is critical
- Deploying to edge/serverless
- Team knows SQL well
- Bundle size matters
- Building real-time applications
Choose TypeORM When
- Team comes from Java/C# background
- Need Active Record pattern
- Working with legacy databases
- Enterprise environment with specific requirements
- Using NestJS (good integration)
Our Recommendation
For new projects in 2025:
- Default Choice: Start with Prisma for the best developer experience and ecosystem
- Performance Critical: Choose Drizzle for edge deployments and maximum performance
- Enterprise/Legacy: Consider TypeORM if team has Java/C# background
The trend is clear: Drizzle is gaining momentum rapidly due to its performance advantages, while Prisma remains the most developer-friendly option.
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