When should I use Django ORM instead of ORM (encode/orm)?

Rapid web application development with automatic migrations and a built-in admin interface. Django web apps where tight ORM integration with the framework saves significant boilerplate. Teams wanting a batteries-included ORM with minimal configuration and a large tutorial ecosystem

When should I use ORM (encode/orm) instead of Django ORM?

Lightweight async ORM with a clean Django-inspired API for FastAPI and Starlette projects. Type-annotated models with async query support in a minimal, easy-to-configure package. Simple database-backed microservices that do not need the full power of SQLAlchemy

What are the main weaknesses of Django ORM?

Tightly coupled to Django — not practical to use as a standalone ORM. Active Record pattern produces N+1 queries without careful use of select_related and prefetch_related. Async support is limited; not suitable for high-concurrency async Python services

What are the main weaknesses of ORM (encode/orm)?

Very limited feature set compared to SQLAlchemy async or Tortoise ORM. Small community with few tutorials and limited long-term documentation. Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

Django ORM vs ORM (encode/orm): Key Differences for Python Data Engineering

ORMs for Python

Django ORM

Django's Built-in ORM

★ 4.8

BSD-3-Clause

pip install django

ORM (encode/orm)

Lightweight Async ORM

★ 4.3

BSD-3-Clause

pip install orm

Side-by-Side Comparison

Django ORM

ORM (encode/orm)

Django ORM

ORM (encode/orm)

Best For

✓Rapid web application development with automatic migrations and a built-in admin interface
✓Django web apps where tight ORM integration with the framework saves significant boilerplate
✓Teams wanting a batteries-included ORM with minimal configuration and a large tutorial ecosystem

✓Lightweight async ORM with a clean Django-inspired API for FastAPI and Starlette projects
✓Type-annotated models with async query support in a minimal, easy-to-configure package
✓Simple database-backed microservices that do not need the full power of SQLAlchemy

Best For

✓Rapid web application development with automatic migrations and a built-in admin interface
✓Django web apps where tight ORM integration with the framework saves significant boilerplate
✓Teams wanting a batteries-included ORM with minimal configuration and a large tutorial ecosystem

✓Lightweight async ORM with a clean Django-inspired API for FastAPI and Starlette projects
✓Type-annotated models with async query support in a minimal, easy-to-configure package
✓Simple database-backed microservices that do not need the full power of SQLAlchemy

Weaknesses

•Tightly coupled to Django — not practical to use as a standalone ORM
•Active Record pattern produces N+1 queries without careful use of select_related and prefetch_related
•Async support is limited; not suitable for high-concurrency async Python services

•Very limited feature set compared to SQLAlchemy async or Tortoise ORM
•Small community with few tutorials and limited long-term documentation
•Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

Weaknesses

•Tightly coupled to Django — not practical to use as a standalone ORM
•Active Record pattern produces N+1 queries without careful use of select_related and prefetch_related
•Async support is limited; not suitable for high-concurrency async Python services

•Very limited feature set compared to SQLAlchemy async or Tortoise ORM
•Small community with few tutorials and limited long-term documentation
•Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

License

BSD-3-Clause

License

BSD-3-Clause

Install

pip install django

pip install orm

Install

pip install django

pip install orm

Rating

★ 4.8

★ 4.3

Rating

★ 4.8

★ 4.3

Key Features

Django ORM

1Model classes map directly to database tables with automatic schema generation
2QuerySet API for filtering, annotating, aggregating, and chaining queries
3Built-in support for relationships: ForeignKey, ManyToMany, OneToOne
4Database-agnostic: works with PostgreSQL, MySQL, SQLite, and Oracle
5Migration framework tracks and applies incremental schema changes

ORM (encode/orm)

1Async ORM built on SQLAlchemy Core for use with Starlette and FastAPI
2Supports PostgreSQL (asyncpg), MySQL (aiomysql), and SQLite (aiosqlite)
3Simple Model class with async `all()`, `get()`, `create()`, and `filter()` methods
4Integrates with Alembic for schema migrations
5Lightweight — minimal abstraction over raw SQL for predictable behavior

How Python Data Engineers Use These Tools

Django ORM

Data engineers building Django-based data applications use the ORM to query and write pipeline results to a relational database without writing raw SQL. Django's QuerySet API lets engineers filter and aggregate records in Python, and the migration system ensures database schema stays in sync with model definitions across environments.

ORM (encode/orm)

Python data engineers building async data APIs with FastAPI or Starlette use the `databases` (Encode ORM) library to perform non-blocking database operations. It replaces synchronous `psycopg2` calls with awaitable async queries, keeping the event loop unblocked during database I/O in high-concurrency ingestion endpoints.

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ORMs for Python

SQLAlchemy vs Tortoise ORM

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Gino vs SQLAlchemy

Individual Tool Pages

View Django ORM details →View ORM (encode/orm) details →

Side-by-Side Comparison

Django ORM

ORM (encode/orm)

Django ORM

ORM (encode/orm)

Best For

✓Rapid web application development with automatic migrations and a built-in admin interface
✓Django web apps where tight ORM integration with the framework saves significant boilerplate
✓Teams wanting a batteries-included ORM with minimal configuration and a large tutorial ecosystem

✓Lightweight async ORM with a clean Django-inspired API for FastAPI and Starlette projects
✓Type-annotated models with async query support in a minimal, easy-to-configure package
✓Simple database-backed microservices that do not need the full power of SQLAlchemy

Best For

✓Rapid web application development with automatic migrations and a built-in admin interface
✓Django web apps where tight ORM integration with the framework saves significant boilerplate
✓Teams wanting a batteries-included ORM with minimal configuration and a large tutorial ecosystem

✓Lightweight async ORM with a clean Django-inspired API for FastAPI and Starlette projects
✓Type-annotated models with async query support in a minimal, easy-to-configure package
✓Simple database-backed microservices that do not need the full power of SQLAlchemy

Weaknesses

•Tightly coupled to Django — not practical to use as a standalone ORM
•Active Record pattern produces N+1 queries without careful use of select_related and prefetch_related
•Async support is limited; not suitable for high-concurrency async Python services

•Very limited feature set compared to SQLAlchemy async or Tortoise ORM
•Small community with few tutorials and limited long-term documentation
•Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

Weaknesses

•Tightly coupled to Django — not practical to use as a standalone ORM
•Active Record pattern produces N+1 queries without careful use of select_related and prefetch_related
•Async support is limited; not suitable for high-concurrency async Python services

•Very limited feature set compared to SQLAlchemy async or Tortoise ORM
•Small community with few tutorials and limited long-term documentation
•Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

License

BSD-3-Clause

License

BSD-3-Clause

Install

pip install django

pip install orm

Install

pip install django

pip install orm

Rating

★ 4.8

★ 4.3

Rating

★ 4.8

★ 4.3

Key Features

Django ORM

1Model classes map directly to database tables with automatic schema generation
2QuerySet API for filtering, annotating, aggregating, and chaining queries
3Built-in support for relationships: ForeignKey, ManyToMany, OneToOne
4Database-agnostic: works with PostgreSQL, MySQL, SQLite, and Oracle
5Migration framework tracks and applies incremental schema changes

ORM (encode/orm)

1Async ORM built on SQLAlchemy Core for use with Starlette and FastAPI
2Supports PostgreSQL (asyncpg), MySQL (aiomysql), and SQLite (aiosqlite)
3Simple Model class with async `all()`, `get()`, `create()`, and `filter()` methods
4Integrates with Alembic for schema migrations
5Lightweight — minimal abstraction over raw SQL for predictable behavior

How Python Data Engineers Use These Tools