Comparing
A high-level Python web framework that encourages rapid development and clean, pragmatic design
Database Abstraction Library
| Metric | django | sqlalchemy |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 9.9M↑ | 0 |
| Latest version | v6.0.3 | v2.0.48 |
| Recipes | 1 | 1 |
django only
Shared
sqlalchemy only
Use Django for full-stack web applications that need user accounts, an admin interface for content management, forms with validation, or an ORM for complex data relationships. It's the right choice when you want a complete, production-ready framework with a well-trodden path for common features.
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.
Django is heavy for pure REST APIs — the ORM, templates, and admin panel add weight you don't use. FastAPI is a better starting point for API-only projects. Django's synchronous-by-default nature (though async support has improved) can also be a constraint for highly concurrent applications.
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.
django
sqlalchemy