intermediateSpring Data JDBC vs. Spring Data JPA
Why would a team deliberately choose Spring Data JDBC over JPA for a service?
For a genuinely simple domain model with shallow relationships, JPA's automatic behaviors (dirty checking, lazy loading, cascades) add mental overhead and surprising failure modes (LazyInitializationException, N+1) without much offsetting benefit. Spring Data JDBC trades that automation for a smaller, fully explicit, more predictable model.
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Why would a team deliberately choose Spring Data JDBC over JPA for a service?