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

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

Async-native ORM for FastAPI and Starlette applications needing non-blocking database access. Teams wanting a Django-inspired Active Record API in an asyncio context. PostgreSQL and MySQL backends in high-concurrency async Python microservices

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 Largely superseded by SQLAlchemy async and Tortoise ORM for async Python projects

What are the main weaknesses of Tortoise ORM?

Smaller ecosystem than SQLAlchemy with fewer adapters, extensions, and production examples. Migration tooling (Aerich) is less mature and battle-tested than Alembic. Not suitable for synchronous codebases, scripts, or data engineering batch pipelines

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

ORMs for Python

ORM (encode/orm)

Lightweight Async ORM

★ 4.3

BSD-3-Clause

pip install orm

Tortoise ORM

Async ORM for Python

★ 4.6

Apache-2.0

pip install tortoise-orm

Side-by-Side Comparison

ORM (encode/orm)

Tortoise ORM

ORM (encode/orm)

Tortoise ORM

Best For

✓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

✓Async-native ORM for FastAPI and Starlette applications needing non-blocking database access
✓Teams wanting a Django-inspired Active Record API in an asyncio context
✓PostgreSQL and MySQL backends in high-concurrency async Python microservices

Best For

✓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

✓Async-native ORM for FastAPI and Starlette applications needing non-blocking database access
✓Teams wanting a Django-inspired Active Record API in an asyncio context
✓PostgreSQL and MySQL backends in high-concurrency async Python microservices

Weaknesses

•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

•Smaller ecosystem than SQLAlchemy with fewer adapters, extensions, and production examples
•Migration tooling (Aerich) is less mature and battle-tested than Alembic
•Not suitable for synchronous codebases, scripts, or data engineering batch pipelines

Weaknesses

•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

•Smaller ecosystem than SQLAlchemy with fewer adapters, extensions, and production examples
•Migration tooling (Aerich) is less mature and battle-tested than Alembic
•Not suitable for synchronous codebases, scripts, or data engineering batch pipelines

License

BSD-3-Clause

Apache-2.0

License

BSD-3-Clause

Apache-2.0

Install

pip install orm

pip install tortoise-orm

Install

pip install orm

pip install tortoise-orm

Rating

★ 4.3

★ 4.6

Rating

★ 4.3

★ 4.6

Key Features

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

Tortoise ORM

1Async-first ORM built for Python's asyncio ecosystem
2Django-inspired API: familiar field types and QuerySet interface
3Aerich migration tool for schema versioning in async projects
4Works with asyncpg (PostgreSQL), aiosqlite, and aiomysql
5Pydantic integration for automatic serialization of model instances

How Python Data Engineers Use These Tools

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.

Tortoise ORM

Data engineers building async data APIs or streaming ingestion services use Tortoise ORM to perform non-blocking database reads and writes within FastAPI or aiohttp applications. Awaiting QuerySet operations keeps the event loop free while the database executes queries, which is critical in high-concurrency data ingestion scenarios.

More ORMs for Python Comparisons

ORMs for Python

Django ORM vs SQLAlchemy

ORMs for Python

Peewee vs SQLAlchemy

ORMs for Python

Pony ORM vs SQLAlchemy

ORMs for Python

SQLAlchemy vs SQLObject

ORMs for Python

SQLAlchemy vs Tortoise ORM

ORMs for Python

Gino vs SQLAlchemy

Individual Tool Pages

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

Side-by-Side Comparison

ORM (encode/orm)

Tortoise ORM

ORM (encode/orm)

Tortoise ORM

Best For

✓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

✓Async-native ORM for FastAPI and Starlette applications needing non-blocking database access
✓Teams wanting a Django-inspired Active Record API in an asyncio context
✓PostgreSQL and MySQL backends in high-concurrency async Python microservices

Best For

✓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

✓Async-native ORM for FastAPI and Starlette applications needing non-blocking database access
✓Teams wanting a Django-inspired Active Record API in an asyncio context
✓PostgreSQL and MySQL backends in high-concurrency async Python microservices

Weaknesses

•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

•Smaller ecosystem than SQLAlchemy with fewer adapters, extensions, and production examples
•Migration tooling (Aerich) is less mature and battle-tested than Alembic
•Not suitable for synchronous codebases, scripts, or data engineering batch pipelines

Weaknesses

•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

•Smaller ecosystem than SQLAlchemy with fewer adapters, extensions, and production examples
•Migration tooling (Aerich) is less mature and battle-tested than Alembic
•Not suitable for synchronous codebases, scripts, or data engineering batch pipelines

License

BSD-3-Clause

Apache-2.0

License

BSD-3-Clause

Apache-2.0

Install

pip install orm

pip install tortoise-orm

Install

pip install orm

pip install tortoise-orm

Rating

★ 4.3

★ 4.6

Rating

★ 4.3

★ 4.6

Key Features

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

Tortoise ORM

1Async-first ORM built for Python's asyncio ecosystem
2Django-inspired API: familiar field types and QuerySet interface
3Aerich migration tool for schema versioning in async projects
4Works with asyncpg (PostgreSQL), aiosqlite, and aiomysql
5Pydantic integration for automatic serialization of model instances

How Python Data Engineers Use These Tools