Common databases for Python full stack applications include PostgreSQL, MySQL, and SQLite. Django and Flask both support these databases through ORMs for easier data management.

In Python full stack development, various databases are commonly utilized, with PostgreSQL, MySQL, and SQLite being the most prominent choices. PostgreSQL is renowned for its robustness and advanced features, making it an excellent option for applications that require complex queries and transactions. MySQL, known for its speed and reliability, is widely used in web applications and integrates seamlessly with Django and Flask through Object-Relational Mappers (ORMs). SQLite, a lightweight database, is often used in smaller applications or during the development phase due to its simplicity and ease of setup. Both Django and Flask support these databases natively, allowing developers to interact with the database using Python code instead of SQL queries, which streamlines the data management process. Additionally, using an ORM like SQLAlchemy for Flask or Django's built-in ORM provides an abstraction layer that makes database interactions more intuitive and reduces the risk of SQL injection attacks. Choosing the right database often depends on the application's specific requirements, including scalability, complexity, and performance.