Escape the ORM Trap: Matching Persistence Tools to Database Realities

Most Java teams treat persistence as a binary choice: ORM or not. This article reveals why that framing is fundamentally wrong—different parts of your system have different persistence needs, and forcing a single abstraction across them leads to unmaintainable code, hidden N+1 queries, and runtime failures. By understanding when to use JPA, jOOQ, and JDBC separately, teams can build persistence layers that scale with both business complexity and production load.