BigAl vs Prisma
Prisma is a multi-database ORM with its own schema language, a generated client, and a migration tool. BigAl is a PostgreSQL-only ORM with decorator models and a fluent query builder, and it ships no migrations. Choose Prisma for schema-driven development across databases. Choose BigAl when you want Postgres features such as row locks and pgvector in the typed query API.
This page compares BigAl 16 with Prisma ORM 7, the current stable release. Prisma ORM 8 is a release candidate with general availability expected in October 2026. It adds a TypeScript runtime, a new query API, and TypeScript schema files, and some Prisma 7 features are not yet available in it.
At a glance
| Criterion | BigAl | Prisma ORM 7 |
|---|---|---|
| Databases | PostgreSQL only | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, CockroachDB, MongoDB |
| Query style | Fluent builder: find().where({...}).sort().limit() | Object arguments: findMany({ where, orderBy, take, include }) |
| Schema definition | Classes with @table and @column decorators | schema.prisma; prisma generate writes a typed client |
| Migrations | None; BigAl issues no DDL, so pair it with a migration tool | prisma migrate dev and prisma migrate deploy, generated from the schema |
| JSONB | Property paths (->, ->>) and @> containment in .where() | Json fields with path filters on PostgreSQL |
| DISTINCT ON | .distinctOn([...]) | distinct option; native DISTINCT ON behind the nativeDistinct preview |
| ON CONFLICT | create() option: onConflict with ignore or merge | upsert() uses ON CONFLICT when criteria are met; createMany({ skipDuplicates }) |
| pgvector | vector columns; nearestTo sorting and distance filters | Unsupported("vector") columns; query with $queryRaw or TypedSQL |
| Row locks | .lock(): update, no key update, share, key share; nowait, skipLocked | No API; $queryRaw with FOR UPDATE in an interactive transaction |
| Type safety | From class properties; .select() and .populate() narrow results | Generated from the schema; select and include narrow results |
| Runtime deps | Zero; add postgres-pool, pg, or @neondatabase/serverless | @prisma/client, a driver adapter such as @prisma/adapter-pg, prisma CLI |
| Runtimes | Node.js 22.11+, Bun, Deno 2; edge runtimes untested | Node.js 20.19+, Bun, Deno; Cloudflare Workers and Vercel Edge in preview |
| Transactions | transaction() with isolation level and lock, statement, idle timeouts | $transaction() batch or interactive; isolationLevel, maxWait, timeout |
| Raw SQL | pool.query(), or query() on the transaction scope | $queryRaw tagged templates and TypedSQL .sql files |
| Read replicas | Built in: readonlyPool serves reads | @prisma/extension-read-replicas client extension |
When to choose BigAl
- You run only PostgreSQL and want row locks, DISTINCT ON, JSONB paths, and vector search in the typed API instead of raw SQL.
- Your schema already lives in SQL migrations, and you want the ORM to stay out of DDL.
- You want no code generation step and no runtime dependencies beyond your Postgres driver.
- You want read replica routing without an extension. See Configuration.
When to choose Prisma
- You want one schema file to drive migrations, client types, and Prisma Studio.
- You need MySQL, SQL Server, SQLite, or MongoDB, or you may switch databases later.
- You rely on nested writes, such as creating a store and its products in one call.
- Your team prefers a large ecosystem of guides, extensions, and hosted tooling.
Migrating from Prisma
BigAl works with the tables Prisma already created, so the database does not change. Keep prisma migrate for schema changes, or move to plain SQL migrations. Prisma names tables and columns after models and fields unless you use @@map and @map, so set name on @table and @column to match.
Models
model Product {
id Int @id @default(autoincrement())
name String
sku String @unique
priceCents Int @map("price_cents")
storeId Int @map("store_id")
store Store @relation(fields: [storeId], references: [id])
@@map("products")
}import { column, Entity, primaryColumn, table } from 'bigal';
import type { Store } from './Store';
@table({ name: 'products' })
export class Product extends Entity {
@primaryColumn({ type: 'integer' })
public id!: number;
@column({ type: 'string', required: true })
public name!: string;
@column({ type: 'string', required: true })
public sku!: string;
@column({ type: 'integer', required: true, name: 'price_cents' })
public priceCents!: number;
@column({ model: () => 'Store', name: 'store_id' })
public store!: number | Store;
}Queries
const products = await prisma.product.findMany({
where: { priceCents: { gte: 1000 }, name: { contains: 'widget', mode: 'insensitive' } },
orderBy: { name: 'asc' },
take: 10,
include: { store: { select: { name: true } } },
});const products = await productRepository
.find()
.where({ priceCents: { '>=': 1000 }, name: { contains: 'widget' } })
.sort('name asc')
.limit(10)
.populate('store', { select: ['name'] });BigAl string operators such as contains are case-insensitive (ILIKE) by default.
Row locks
await prisma.$transaction(async (tx) => {
const [product] = await tx.$queryRaw<{ id: number; price_cents: number }[]>`
SELECT id, price_cents FROM products WHERE sku = ${sku} FOR UPDATE`;
// ...
});await transaction({ pool, repositories: { Product: productRepository } }, async ({ repositories }) => {
const product = await repositories.Product.findOne().where({ sku }).lock('update');
// product is null when no row matches
});Last reviewed: September 2026