Drizzle vs Prisma vs Kysely: Best TypeScript ORM (2026)

Q: Which is best for a new Next.js project

**Drizzle** for the best balance of DX, performance, and serverless compatibility. **Prisma** if you want the most tutorials and community support. **Kysely** if you're an SQL expert.

Choosing a TypeScript ORM affects every part of your application that touches the database. In 2026, Drizzle, Prisma, and Kysely represent three philosophies: SQL-like (Drizzle), schema-first (Prisma), and query-builder (Kysely).

Quick Comparison

Feature	Drizzle	Prisma	Kysely
Approach	SQL-like TypeScript API	Schema-first ORM	Type-safe query builder
Schema definition	TypeScript objects	Prisma schema language (.prisma)	TypeScript types
SQL closeness	Very close	Abstracted	Close
Migrations	Generated from schema	Generated from schema	Manual or generated
Relations	Relational queries API	Include/select API	Manual joins
Raw SQL	Easy escape hatch	$queryRaw	sql`` tagged template
Bundle size	~30KB	~800KB+ (with engine)	~25KB
Serverless	Excellent	Improved (accelerate)	Excellent
Learning curve	Low (if you know SQL)	Low (if you like ORMs)	Medium
Edge runtime	Yes	Via Accelerate	Yes

Drizzle: SQL in TypeScript

Drizzle ORM's philosophy: if you know SQL, you know Drizzle. It maps SQL concepts directly to TypeScript, giving you type safety without abstracting away the database.

Schema Definition

import { pgTable, serial, text, timestamp, integer } from 'drizzle-orm/pg-core';

export const users = pgTable('users', {
  id: serial('id').primaryKey(),
  name: text('name').notNull(),
  email: text('email').notNull().unique(),
  createdAt: timestamp('created_at').defaultNow(),
});

export const posts = pgTable('posts', {
  id: serial('id').primaryKey(),
  title: text('title').notNull(),
  content: text('content'),
  authorId: integer('author_id').references(() => users.id),
});

Query Examples

// Select with where clause — reads like SQL
const activeUsers = await db
  .select()
  .from(users)
  .where(eq(users.email, 'test@example.com'));

// Join — familiar if you know SQL
const postsWithAuthors = await db
  .select()
  .from(posts)
  .leftJoin(users, eq(posts.authorId, users.id));

// Relational queries (Drizzle's higher-level API)
const usersWithPosts = await db.query.users.findMany({
  with: { posts: true },
});

// Insert
await db.insert(users).values({ name: 'John', email: 'john@example.com' });

Strengths

SQL-like API. If you know SQL, you know Drizzle. Minimal abstraction.
Tiny bundle. ~30KB. Perfect for serverless and edge.
Fast. No query engine overhead. Generates SQL directly.
Multiple drivers. PostgreSQL, MySQL, SQLite, Turso, Neon, Planetscale, D1.
Schema-as-code. Schema in TypeScript = version controlled, type-safe, no separate language.
Drizzle Studio. Built-in database GUI for browsing and editing data.
Edge-ready. Works on Cloudflare Workers, Vercel Edge, Deno Deploy.

Weaknesses

Relational queries API is less mature than Prisma's include/select
Smaller ecosystem (fewer plugins, guides, tutorials)
Documentation has improved but still behind Prisma
Migration tooling is good but less battle-tested

Best For

Developers who think in SQL and want type safety without ORM abstraction. Serverless/edge deployments where bundle size matters.

Prisma: Schema-First ORM

Prisma is the most popular TypeScript ORM. It uses its own schema language and generates a type-safe client from it.

Schema Definition

// schema.prisma
model User {
  id        Int      @id @default(autoincrement())
  name      String
  email     String   @unique
  posts     Post[]
  createdAt DateTime @default(now())
}

model Post {
  id       Int    @id @default(autoincrement())
  title    String
  content  String?
  author   User   @relation(fields: [authorId], references: [id])
  authorId Int
}

Query Examples

// Find with relations — clean, intuitive API
const usersWithPosts = await prisma.user.findMany({
  include: { posts: true },
});

// Where clause
const user = await prisma.user.findUnique({
  where: { email: 'test@example.com' },
});

// Nested create
const userWithPost = await prisma.user.create({
  data: {
    name: 'John',
    email: 'john@example.com',
    posts: {
      create: { title: 'First Post', content: 'Hello world' },
    },
  },
  include: { posts: true },
});

Strengths

Best DX for relations. Include/select API for nested data is excellent.
Prisma schema. Dedicated schema language is readable and powerful.
Largest community. Most tutorials, examples, and Stack Overflow answers.
Prisma Studio. Visual database browser.
Migrations. Mature migration system with drift detection.
Prisma Accelerate. Connection pooling and caching for serverless.
Ecosystem. Integrations with Next.js, Remix, tRPC, and every major framework.

Weaknesses

Large bundle. ~800KB+ including the query engine. Problematic for serverless cold starts.
Separate schema language. Learning .prisma syntax is extra overhead. Not TypeScript.
Query engine. Rust-based engine adds complexity and potential failure points.
Raw SQL is second-class. $queryRaw works but loses type safety.
Complex queries. Advanced SQL patterns (CTEs, window functions, complex aggregations) require raw SQL.
Edge support. Requires Prisma Accelerate proxy for edge runtimes.

Best For

Teams that prioritize developer experience, work heavily with relations, and want the largest community support.

Kysely: The Pure Query Builder

Kysely is a type-safe SQL query builder. It's not an ORM — it gives you a TypeScript API for writing SQL queries with full type inference.

Schema Definition

// Define your database types
interface Database {
  users: {
    id: Generated<number>;
    name: string;
    email: string;
    created_at: Generated<Date>;
  };
  posts: {
    id: Generated<number>;
    title: string;
    content: string | null;
    author_id: number;
  };
}

const db = new Kysely<Database>({ dialect: new PostgresDialect({ pool }) });

Query Examples

// Select with join — you write the SQL, Kysely types it
const result = await db
  .selectFrom('users')
  .innerJoin('posts', 'posts.author_id', 'users.id')
  .select(['users.name', 'posts.title'])
  .where('users.email', '=', 'test@example.com')
  .execute();

// Insert
await db
  .insertInto('users')
  .values({ name: 'John', email: 'john@example.com' })
  .execute();

// Complex query — CTEs, subqueries, window functions all supported
const result = await db
  .with('recent_posts', (db) =>
    db.selectFrom('posts')
      .select(['author_id', sql`count(*)`.as('post_count')])
      .groupBy('author_id')
  )
  .selectFrom('users')
  .innerJoin('recent_posts', 'recent_posts.author_id', 'users.id')
  .selectAll()
  .execute();

Strengths

True SQL with types. Write real SQL patterns with full TypeScript inference.
Tiny bundle. ~25KB. Smallest of the three.
No magic. What you write is what runs. No query engine, no generation step.
Complex queries. CTEs, window functions, subqueries, lateral joins — everything SQL supports.
Database-first. Works with existing databases without schema migration tools.
Edge/serverless. Works everywhere with zero overhead.

Weaknesses

No schema management. You define TypeScript types manually (or generate from DB).
No relations API. You write joins manually. No include/select convenience.
Steeper learning curve. Requires SQL knowledge. No abstraction to fall back on.
Smaller community. Fewer tutorials and examples.
No built-in migrations. Use a separate tool (or Kysely's migration helper).
Verbose for simple operations. Simple CRUD is more code than Prisma.

Best For

SQL experts who want type safety without abstraction. Projects with complex query requirements. Existing databases where you can't control the schema.

Performance Comparison

Query Execution

Metric	Drizzle	Prisma	Kysely
Simple select	~0.5ms	~1.5ms	~0.5ms
Complex join	~1ms	~3ms	~1ms
Insert	~0.5ms	~1.5ms	~0.5ms

Drizzle and Kysely generate SQL directly and are consistently faster. Prisma's query engine adds overhead but the difference is rarely the bottleneck in real applications.

Cold Start (Serverless)

Runtime	Drizzle	Prisma	Kysely
Bundle size	~30KB	~800KB+	~25KB
Cold start impact	Minimal	Noticeable	Minimal

For serverless functions, Drizzle and Kysely have a significant advantage in cold start times.

Migration from Prisma

To Drizzle

Drizzle can introspect your existing Prisma database and generate Drizzle schema. Gradual migration is possible — run both ORMs during transition.

To Kysely

Generate Kysely types from your database using kysely-codegen. No schema migration needed since Kysely works with your existing database.

FAQ

Which is best for a new Next.js project?

Drizzle for the best balance of DX, performance, and serverless compatibility. Prisma if you want the most tutorials and community support. Kysely if you're an SQL expert.

Can I use Prisma on the edge?

Yes, via Prisma Accelerate (a proxy service). Drizzle and Kysely work natively on edge runtimes without proxies.

Which has the best TypeScript support?

All three have excellent TypeScript support. Kysely arguably has the deepest type inference for complex queries. Prisma's generated types are comprehensive. Drizzle's types follow the schema closely.

Should I switch from Prisma to Drizzle?

Only if you're hitting pain points (bundle size, serverless performance, complex queries). For most apps, Prisma works fine. New projects are where Drizzle shines.

The Verdict

Choose Drizzle if you want SQL-like DX, small bundles, edge/serverless support, and the best balance of power and simplicity.
Choose Prisma if you want the best relation handling, largest community, and don't mind the bundle size.
Choose Kysely if you're an SQL power user, have complex query needs, or are working with existing databases.

For new TypeScript projects in 2026, Drizzle has become the default recommendation for its combination of performance, DX, and serverless readiness. Prisma remains excellent for teams that value its developer experience and community.

Drizzle vs Prisma vs Kysely: Best TypeScript ORM (2026)

Quick Comparison

Drizzle: SQL in TypeScript

Schema Definition

Query Examples

Strengths

Weaknesses

Best For

Prisma: Schema-First ORM

Schema Definition

Query Examples

Strengths

Weaknesses

Best For

Kysely: The Pure Query Builder

Schema Definition

Query Examples

Strengths

Weaknesses

Best For

Performance Comparison

Query Execution

Cold Start (Serverless)

Migration from Prisma

To Drizzle

To Kysely

FAQ

Which is best for a new Next.js project?

Can I use Prisma on the edge?

Which has the best TypeScript support?

Should I switch from Prisma to Drizzle?

The Verdict

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