Drizzle vs Prisma
Drizzle vs Prisma is a choice between writing SQL in TypeScript and describing your data in a schema file. Drizzle defines tables in TypeScript, has zero dependencies and always sends one SQL query per call. Prisma generates a typed client from schema.prisma and gives you the most guided workflow, and since Prisma 7 it no longer needs a Rust engine.
Facts and prices checked on against the sources listed below.
Quick verdict
Drizzle vs Prisma at a glance
| Feature | Drizzle |  Prisma |
|---|---|---|
| Schema | TypeScript (pgTable and friends) | schema.prisma, its own modelling language |
| Queries | SQL-like builder plus a relational query API | Generated Prisma Client, plus TypedSQL for raw SQL |
| Migrations | drizzle-kit generate, migrate, push, pull | prisma migrate dev and deploy |
| Runtime | 0 dependencies, no Rust binaries | Rust-free client by default since 7.0 |
| Edge and serverless | Node, Bun, Deno, Cloudflare Workers, edge runtimes | Node and serverless; query compiler runs as WebAssembly |
| Databases | PostgreSQL, MySQL, SQLite, SingleStore, MSSQL, CockroachDB | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB, CockroachDB |
| Release on GitHub | 0.45.4 marked latest; 1.0.0-rc.5 is a pre-release | 7.10.1 marked latest; 8.0.0-rc.19 is a pre-release |
| GitHub stars | 36.1k | 47.7k |
| Free tier | Free and open source (Apache-2.0) | ORM free and open source (Apache-2.0); Prisma Postgres Free: 200k operations, 2 GB, 50 databases |
How each one models your data
Drizzle puts the schema in TypeScript. You define a table with pgTable, give columns types and constraints, and reference other tables with plain functions. Your schema is code: you can import it, split it across files and type check it like anything else.
export const users = pgTable("users", {
id: serial().primaryKey(),
email: text().notNull().unique(),
});
Prisma uses its own schema language in schema.prisma. You describe models and relations declaratively, then run the generator to get a typed Prisma Client. Connection settings now live in prisma.config.ts.
model User {
id Int @id @default(autoincrement())
email String @unique
}
If you think in tables and SQL, Drizzle feels natural. If you prefer to think in models and let the tool work out the SQL, Prisma does.
Queries: SQL-like or generated client
Drizzle gives you two APIs. The SQL-like builder reads almost like the SQL it produces, as in db.select().from(users).where(eq(users.email, email)). The relational query API fetches nested data, as in db.query.users.findMany({ with: { posts: true } }). Either way, Drizzle sends exactly one SQL query per call, which makes performance easy to reason about.
Prisma Client is generated from your schema, so autocomplete knows every model and field: prisma.user.findMany({ include: { posts: true } }). For queries the client cannot express, TypedSQL lets you write raw .sql files and still get typed results.
Migrations
Drizzle Kit compares your TypeScript schema to the database. drizzle-kit generate writes SQL migration files you can read and edit, drizzle-kit migrate applies them, push syncs the schema directly (handy for prototypes), and pull creates a schema from an existing database.
Prisma Migrate works from schema.prisma. prisma migrate dev creates and applies a migration in development, and prisma migrate deploy applies pending ones in production. It is the more guided of the two: fewer decisions to make.
Performance, serverless and edge
This used to be the clearest difference. Prisma shipped a Rust query engine binary, which made bundles large and cold starts slow on serverless. That changed over 2025: the Rust-free client went GA in 6.16 and became the default in Prisma 7.0. In Prisma 7 the query compiler runs as WebAssembly on the JavaScript main thread.
Drizzle never had that problem. It has zero dependencies, no binaries, and runs in Node, Bun, Deno, Cloudflare Workers and other edge runtimes. If you deploy to the edge or care about every kilobyte, Drizzle is still the lighter option. On a normal Node server the difference rarely matters: your database and your queries matter more.
Versions and stability (checked Oct 2026)
Both projects are close to a major release. On GitHub, Drizzle's latest release is 0.45.4, and 1.0.0-rc.5 is a pre-release from 21 October 2026. Prisma's latest release is 7.10.1, and Prisma 8, a TypeScript rewrite, is at 8.0.0-rc.19. Prisma's README says Prisma 7 stays fully supported, and that Prisma 8 starts with PostgreSQL and MongoDB, with SQLite and MySQL to follow.
Practical advice: start new projects on the stable lines (Drizzle 0.45, Prisma 7) and read the upgrade notes before you move to Drizzle 1.0 or Prisma 8.
When to pick Drizzle
- You are comfortable with SQL and want to see the query you are sending.
- You deploy to Cloudflare Workers, Vercel Edge or another edge runtime.
- You want the schema in TypeScript, next to the rest of your code.
When to pick Prisma
- You want one schema file that the whole team reads as the source of truth.
- You value a guided migration workflow and very complete docs.
- You use MongoDB, which Prisma supports and Drizzle does not.
Both work with any Postgres host. If you are still choosing the database, read Neon vs Supabase.
FAQ
Is Drizzle faster than Prisma?
Drizzle is thinner: it builds one SQL query per call and has no dependencies, so cold starts on serverless are small. Prisma closed much of the gap when it dropped the Rust engine in Prisma 7. For most apps the database and the query you write matter far more than the ORM.
Is Drizzle production ready?
Yes. Many teams run it in production on the 0.x line. Version 1.0 is at release candidate stage (rc.5 on 21 October 2026), so expect small breaking changes when you move to 1.0.
Should I switch from Prisma to Drizzle?
Only if something hurts. Common reasons are edge deployment, cold starts or wanting to write SQL directly. If Prisma works for you, upgrading to Prisma 7 removes the Rust engine and solves many of the same problems without a rewrite.
Do Drizzle and Prisma work with Neon and Supabase?
Yes. Both are Postgres, and both ORMs support Postgres fully. See our Neon vs Supabase comparison to choose the database.
Sources, checked October 22, 2026
Prices and plans change often. If something here is out of date, tell us through the contact page.