Why Spring Data JPA Can Slow Down Team Maintenance and When to Choose MyBatis

From a personal development perspective, Spring Data JPA is more convenient because development is faster.

However, from a team perspective we need better maintainability, and Spring Data JPA falls short, requiring higher expertise from later developers.

It’s easy to encounter this situation:

Monitoring systems detect a slow query; operations send the SQL to the development group for investigation. Often no one responds, claiming they don’t have that SQL. Operations then locate the database, find its owner, and ask them to check, but the owner may also fail to locate the SQL. If the responsible person lacks diligence, they may simply say they didn’t find the SQL. Those familiar with Spring Data JPA need to analyze where the SQL might be generated and locate the corresponding implementation to modify it.

This is a real scenario where Spring Data JPA can lead to high maintenance costs in team projects.

P.S. When I develop my own independent product, I still prefer Spring Data JPA because I’m intimately familiar with it and such issues don’t arise. For solo work I choose it, but for team collaboration I would opt for MyBatis.

What’s your opinion? See the comments section!