5.6 KiB
5.6 KiB
id, title, category, status, source_trust_level, verification_status, created_at, updated_at, tags, tech_stack, applied_in, aliases
| id | title | category | status | source_trust_level | verification_status | created_at | updated_at | tags | tech_stack | applied_in | aliases | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| db-orm-comparison | ORM 비교 — Prisma / Drizzle / Kysely / TypeORM | Coding | draft | B | conceptual | 2026-05-09 | 2026-05-09 |
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ORM 비교
Prisma = 강 type 안전 + DX, Drizzle = 가볍고 SQL 그대로, Kysely = pure query builder, TypeORM = 옛 ActiveRecord. 추천 = Drizzle (modern) 또는 Prisma (DX).
📖 핵심 개념
- ORM: object 매핑.
- Query builder: SQL 같은 chained API.
- Type-safe: schema → type infer.
- Migration: schema 변경 자동 SQL.
💻 코드 패턴
Prisma
// schema.prisma
model User {
id String @id @default(uuid())
email String @unique
posts Post[]
}
model Post {
id String @id @default(uuid())
title String
userId String
user User @relation(fields: [userId], references: [id])
}
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
const u = await prisma.user.findUnique({
where: { id },
include: { posts: true },
});
await prisma.user.create({
data: { email, posts: { create: [{ title: 'first' }] } },
});
await prisma.user.update({
where: { id }, data: { email: newEmail },
});
→ Pros: 강 type, migration 자동. Cons: query engine binary, 일부 제약.
Drizzle (modern, SQL-style)
import { pgTable, uuid, text, integer } from 'drizzle-orm/pg-core';
export const users = pgTable('users', {
id: uuid('id').primaryKey().defaultRandom(),
email: text('email').unique().notNull(),
});
export const posts = pgTable('posts', {
id: uuid('id').primaryKey().defaultRandom(),
title: text('title').notNull(),
userId: uuid('user_id').references(() => users.id),
});
import { drizzle } from 'drizzle-orm/node-postgres';
import { eq } from 'drizzle-orm';
const db = drizzle(pool);
const result = await db.select().from(users).where(eq(users.id, id));
await db.insert(users).values({ email });
await db.update(users).set({ email: newEmail }).where(eq(users.id, id));
// Joined
const result = await db
.select()
.from(users)
.leftJoin(posts, eq(users.id, posts.userId))
.where(eq(users.id, id));
→ Pros: 가볍고 빠름, SQL 그대로. Cons: 약간 verbose.
Kysely (pure query builder)
import { Kysely, PostgresDialect } from 'kysely';
interface DB {
users: { id: string; email: string };
posts: { id: string; title: string; user_id: string };
}
const db = new Kysely<DB>({ dialect: new PostgresDialect({ pool }) });
const u = await db.selectFrom('users').where('id', '=', id).selectAll().executeTakeFirst();
await db.insertInto('users').values({ id: uuid(), email }).execute();
const joined = await db
.selectFrom('users')
.leftJoin('posts', 'posts.user_id', 'users.id')
.where('users.id', '=', id)
.selectAll()
.execute();
→ Pros: SQL 정확 매핑, 매우 typed. Cons: schema 직접 정의.
TypeORM (옛, ActiveRecord)
@Entity()
class User {
@PrimaryGeneratedColumn('uuid') id!: string;
@Column({ unique: true }) email!: string;
@OneToMany(() => Post, p => p.user) posts!: Post[];
}
const u = await User.findOne({ where: { id }, relations: ['posts'] });
→ 옛 design, 새 프로젝트 권장 X.
Migration 비교
# Prisma
prisma migrate dev --name add_user_email
prisma migrate deploy
# Drizzle
drizzle-kit generate
drizzle-kit migrate
# Kysely
# 직접 SQL 파일 + kysely-codegen 으로 type
Transaction
// Prisma
await prisma.$transaction(async (tx) => {
await tx.user.create({...});
await tx.post.create({...});
});
// Drizzle
await db.transaction(async (tx) => {
await tx.insert(users).values(...);
});
// Kysely
await db.transaction().execute(async (tx) => {
await tx.insertInto('users').values(...).execute();
});
Raw SQL (escape hatch)
// Prisma
const result = await prisma.$queryRaw<User[]>`SELECT * FROM users WHERE name LIKE ${pattern}`;
// Drizzle
import { sql } from 'drizzle-orm';
const r = await db.execute(sql`SELECT * FROM users WHERE name LIKE ${pattern}`);
// Kysely
const r = await sql<User[]>`SELECT * FROM users WHERE name LIKE ${pattern}`.execute(db);
Connection pool
// 모두 공통: pg / mysql 의 Pool wrap
import { Pool } from 'pg';
const pool = new Pool({ connectionString, max: 20 });
Edge runtime
Drizzle: HTTP driver (Neon / PlanetScale) 가벼움. Edge OK.
Prisma: Accelerate / Data Proxy 필요. 기본은 binary (Edge X).
Kysely: HTTP driver 호환.
🤔 의사결정 기준
| 상황 | 추천 |
|---|---|
| 빠른 시작 + DX | Prisma |
| Edge runtime | Drizzle / Kysely |
| 가벼운 + SQL 명확 | Drizzle |
| Pure query builder | Kysely |
| 매우 작은 bundle | Drizzle |
| 큰 schema + relation 복잡 | Prisma 또는 Drizzle |
| 옛 시스템 유지 | TypeORM |
❌ 안티패턴
- N+1 ORM: include 안 쓰고 loop 안 쿼리. Prisma include / Drizzle leftJoin.
- 모든 column SELECT: select 명시.
- Connection pool 매번 새로: lazy singleton.
- Migration 수동 prod: drift. CI 에서 auto.
- Transaction 안 외부 API: 롤백 시 부수효과만 남음.
- Raw SQL string concat: SQL injection. parameterized.
- Schema 두 곳 (.prisma + ts type): drift. infer.
🤖 LLM 활용 힌트
- 새 프로젝트 = Drizzle 또는 Prisma.
- Edge / serverless = Drizzle (Neon HTTP).
- Prisma = DX 우월하지만 binary.