Common databases used with Python web applications include PostgreSQL, MySQL, SQLite, and NoSQL options like MongoDB, each serving different use cases and scalability needs.

When developing Python web applications, choosing the right database is crucial for data management and application performance. Several databases are commonly used with Python, each catering to specific needs and use cases. PostgreSQL is a powerful, open-source relational database known for its advanced features, including support for complex queries and high concurrency. It’s often the preferred choice for large-scale applications that require robust data integrity and performance. MySQL, another popular relational database, is widely used for its speed and reliability, making it suitable for many web applications. SQLite is a lightweight, file-based database often used for smaller projects or during the development phase, as it requires minimal setup and is easy to use. For applications needing flexible data structures or high scalability, NoSQL databases like MongoDB are an excellent choice. MongoDB stores data in a JSON-like format, allowing for dynamic schemas that can adapt as application requirements change. Understanding the strengths and weaknesses of these databases will help developers make informed decisions based on their application’s specific needs and growth potential.