I spent an entire Sunday once just picking an ORM for a side project. Not building — just picking. By the time I finally ran npm install, it was dark outside.
Don't be me. Here's what actually matters in 2026.
1. Prisma — Everyone's First Love
Prisma is what most people mean when they say "I set up a database in Next.js." It's in every tutorial, every boilerplate, every "build a SaaS in a weekend" YouTube video. There's a reason for that.
You define your schema in a .prisma file, run one command, and get a fully typed client. Change a column name and TypeScript catches every broken query before you even hit save.
// schema.prisma
model User {
id Int @id @default(autoincrement())
email String @unique
posts Post[]
}// In your Next.js Server Component or API route
const user = await prisma.user.findUnique({
where: { email: "hey@example.com" },
include: { posts: true },
});Clean. Readable. Your junior dev can understand it on day one.
The catch is that prisma generate step — you have to run it every time the schema changes. Forget it once at 11pm and your types are lying to you. It also ships a Rust query engine binary that makes cold starts on serverless noticeably slower.
With Prisma 7 (late 2025), they dropped the Rust binary which helped a lot — but Drizzle is still lighter.
Best for: Teams moving fast, solo founders, anyone who wants the database to mostly get out of the way.
2. Drizzle ORM — The One Eating Prisma's Lunch
Drizzle has had a ridiculous two years. It went from "that new ORM" to "what I'm using on every new project" for a huge chunk of the TypeScript community.
The schema lives in your TypeScript files directly. No separate language, no generation step. Types update the moment you save.
// schema.ts
import { pgTable, serial, varchar } from "drizzle-orm/pg-core";
export const users = pgTable("users", {
id: serial("id").primaryKey(),
email: varchar("email", { length: 255 }).notNull().unique(),
});// Querying — reads almost like SQL
const user = await db
.select()
.from(users)
.where(eq(users.email, "hey@example.com"));It's 7.4kb. Zero runtime dependencies. Works in Cloudflare Workers, Vercel Edge, Deno — anywhere Prisma's Node.js dependency would blow up. For serverless, there's genuinely no competition right now.
The tradeoff: migrations are more manual and Drizzle doesn't hand-hold you through complex schema changes the way Prisma does. If you have five developers all touching the schema, Prisma's workflow is more forgiving.
Best for: Serverless and edge deployments, SQL-comfortable developers, anyone who's tired of running prisma generate.
3. TypeORM — The Enterprise Veteran
TypeORM was the go-to TypeScript ORM before Prisma existed. The decorator-based approach still has fans, especially developers coming from Java or Spring Boot.
@Entity()
export class User {
@PrimaryGeneratedColumn()
id: number;
@Column({ unique: true })
email: string;
@OneToMany(() => Post, (post) => post.user)
posts: Post[];
}It supports more databases than almost anything else — Oracle, SAP HANA, SQL Server — which matters if you're in an enterprise context where those things are non-negotiable.
The honest problem: maintenance has been inconsistent. Some open issues have sat for years. For new TypeScript projects in 2026, Prisma and Drizzle have passed it on developer experience. But a massive number of production apps still run on TypeORM, so knowing it matters.
Best for: Enterprise environments with unusual database requirements, teams with existing TypeORM codebases, Java/Spring developers who want a familiar pattern.
4. MikroORM — The One Architects Love
MikroORM implements the Data Mapper pattern and Unit of Work properly — meaning it tracks entity changes and flushes them to the database intelligently, instead of firing queries on every operation.
const user = em.create(User, { email: "hey@example.com" });
await em.persistAndFlush(user);
// Later, just mutate the object
user.email = "new@example.com";
await em.flush(); // Only sends one UPDATEFor large-scale apps with complex business logic, this matters. You can build a rich domain model that doesn't bleed persistence logic everywhere.
It's genuinely more complex to set up than Prisma. The mental model takes time. But if you're building something where clean architecture is non-negotiable, it pays off in ways the simpler ORMs don't.
Best for: Large enterprise applications, complex domain logic, teams that think about separation of concerns before they think about shipping speed.
5. Sequelize — The Grandfather (Still Standing)
Sequelize predates TypeScript being mainstream and you can feel it. The API is verbose. TypeScript support feels retrofitted rather than native. Query hooks and associations work fine but the ergonomics are just... 2018.
const user = await User.findOne({
where: { email: "hey@example.com" },
include: [{ model: Post }],
});The community is huge. The documentation is comprehensive. There are millions of apps running on it in production right now, which means Stack Overflow answers exist for almost every weird edge case you'll hit.
If you're maintaining a legacy codebase that already uses Sequelize, migrating isn't worth the pain unless something is actually broken. If you're starting fresh in 2026, the ecosystem has moved on.
Best for: Legacy codebases, teams with deep Sequelize knowledge who don't want to retrain, projects where documentation depth matters more than modern ergonomics.
6. Objection.js — The Underrated Middle Ground
Objection.js sits on top of Knex.js and takes a different approach from everything else here: it gives you a powerful query builder and model layer without being opinionated about anything.
const user = await User.query()
.findOne({ email: "hey@example.com" })
.withGraphFetched("posts");Eager loading is clean. Complex relationships work. Raw SQL is always one step away. It won't fight you when you need to do something weird.
The tradeoff is that you bring your own structure — there's no schema file, no generated client, no migration tooling out of the box. More setup, more control. Most developers skip over it when comparing ORMs, which is a shame because it hits a genuine sweet spot.
Best for: Developers who want explicit control, projects that outgrew simple ORMs but don't need the full Prisma ecosystem, teams already comfortable with Knex.js.
🔗 vincit.github.io/objection.js
7. Kysely — For SQL Developers Who Just Want Types
Kysely isn't really an ORM. It's a fully type-safe SQL query builder — and it makes no apologies about that.
const user = await db
.selectFrom("users")
.select(["id", "email"])
.where("email", "=", "hey@example.com")
.executeTakeFirst();If you know SQL, you're productive in Kysely within minutes. There's no abstraction layer hiding what hits the database. Every query is exactly what you write.
It doesn't handle migrations or relationships the way traditional ORMs do — you manage that yourself. But for performance-critical, read-heavy apps where you need to know exactly what SQL is running, this is the right tool.
Best for: SQL-native developers, performance-critical applications, teams who want zero surprise queries and full visibility into the database.
So, Which One?
One question settles most of it: are you deploying to serverless or edge infrastructure?
Yes → Drizzle. Bundle size and cold-start advantages are real, and in 2026 it's mature enough that you're not gambling.
No, greenfield project → Prisma. Developer experience is still the best in class for moving fast, especially with a team.
Maintaining existing code → Stick with what's there. Only migrate if the actual pain is costing you time.
MikroORM when the domain is complex. Objection.js when you want control without going raw. Kysely when you think in SQL and want TypeScript to back you up. TypeORM and Sequelize when the project already has them.
The ORM decision feels big before you make it. Six months later, you'll barely remember which one you picked.
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