Comparing
Lightweight TypeScript ORM with SQL-first design, zero magic, and edge-runtime support.
Database Abstraction Library
| Metric | drizzle-orm | sqlalchemy |
|---|---|---|
| Ecosystem | npm | Python |
| Difficulty | Intermediate | Beginner ✓ |
| Weekly downloads | 1.9M↑ | 0 |
| Latest version | v0.33.0 | v2.0.48 |
| Recipes | 2↑ | 1 |
drizzle-orm only
Shared
sqlalchemy only
Edge runtimes (Cloudflare Workers, Vercel Edge), projects where you want full SQL control with types, lighter bundle size than Prisma, serverless environments.
Use SQLAlchemy in any Python application that talks to a relational database — web apps, data pipelines, ETL scripts. It supports PostgreSQL, MySQL, SQLite, and Oracle, so the same code runs everywhere. It's the standard ORM in the Python ecosystem, with integrations for Flask, FastAPI, and most web frameworks.
If you prefer Prisma's schema-first DX and Studio. Complex ORM features like polymorphism. Teams more comfortable with ActiveRecord-style ORMs.
SQLAlchemy's full ORM is overkill for simple read-only queries or scripts that just need to run a few SQL statements. For those cases, use the database's driver directly (psycopg2, sqlite3) or a lightweight query builder like databases.
drizzle-orm
sqlalchemy