Drizzle
A lightweight TypeScript ORM that supports SQL-like query building and row-level security policy configuration. It is commonly used in serverless and edge computing scenarios.
Timeline (last 90 days)
It is recommended to set up PostgreSQL Row Level Security (RLS) at the database layer as the last line of defense for multi-tenant data isolation; filtering only in the frontend or a single query layer means that a single omission can lead to cross-tenant data leakage.
A common approach to multi-tenant isolation is to make organization_id a foreign key column on every business table and uniformly inject the filter condition in the data access layer, for example using Prisma middleware or Drizzle RLS policies.
The demo's frontend framework uses Next.js (TypeScript + React), the database uses Postgres (hosted via Supabase), and the ORM uses Drizzle.
Compared to Prisma, Drizzle ORM adopts a type-first design, generates SQL that is closer to native, and has smaller runtime overhead.
All Facts (4)
It is recommended to set up PostgreSQL Row Level Security (RLS) at the database layer as the last line of defense for multi-tenant data isolation; filtering only in the frontend or a single query layer means that a single omission can lead to cross-tenant data leakage.
50%UnverifiedA common approach to multi-tenant isolation is to make organization_id a foreign key column on every business table and uniformly inject the filter condition in the data access layer, for example using Prisma middleware or Drizzle RLS policies.
50%UnverifiedThe demo's frontend framework uses Next.js (TypeScript + React), the database uses Postgres (hosted via Supabase), and the ORM uses Drizzle.
50%UnverifiedCompared to Prisma, Drizzle ORM adopts a type-first design, generates SQL that is closer to native, and has smaller runtime overhead.
50%