SQLAlchemy is a library for Python, providing powerful and flexible tools for working with relational databases. It combines the principles of object-relational mapping (ORM) and the capabilities of direct execution of SQL queries.
Drivers for various databases
SQLAlchemy supports many relational databases, such as PostgreSQL, MySQL, SQLite, and many others.
Automatic join, resolution of n+1 problem, caching tools.
With tools such as Alembic, you can manage versions of your database and apply migrations.
SQLAlchemy provides tools to prevent attacks such as SQL injections.
Automatic schema generation
SQLAlchemy can automatically generate a database schema based on your classes.
Supports one-to-many, many-to-many, and many-to-one relationships between models.
Ability to create composite primary and foreign keys.
Thanks to the modular structure, you can easily add additional functions or integrate third-party solutions.
When is it better to use SQLAlchemy in projects?
When your project requires complex database queries or flexibility in data modeling.
When you have a multitude of different models and relationships between them.
For large development teams
Thanks to migrations and a clear code structure, large teams can easily work with the same database.
If you need maximum performance
Although ORM may add some overhead, you can optimize queries and use the core for critically important parts of your application.
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