What are some common challenges faced by Python SQL Backend Developers when optimizing database performance?

Python SQL Backend Developers often encounter challenges related to query optimization, managing database connections efficiently, and ensuring data integrity under high loads. Balancing the need for fast performance with the complexity of business logic can be tricky, especially when dealing with large datasets or multiple concurrent users. Developers typically need to analyze query execution plans, use indexing judiciously, and work closely with DevOps or DBA teams to monitor and tune database performance. Staying up-to-date with best practices and new features in both Python ORM libraries and database systems is crucial for overcoming these challenges.