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.

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Technical Aspects

Drivers for various databases

SQLAlchemy supports many relational databases, such as PostgreSQL, MySQL, SQLite, and many others.

Query optimization

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.

Flexible relationships

Supports one-to-many, many-to-many, and many-to-one relationships between models.

Composite keys

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?

Complex projects

When your project requires complex database queries or flexibility in data modeling.

Multifunctional applications

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.

SQLAlchemy is a powerful tool for working with relational databases in Python. Its flexibility, security, and wide range of functional capabilities make it an excellent choice.

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