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JPA defines standards for mapping Java objects to relational database tables and managing data persistence. Spring Data JPA builds on top of JPA to simplify data access by reducing boilerplate code.
JPA allows developers to work with databases using object-oriented concepts instead of writing database-specific queries. It helps map Java classes (POJOs) to database tables using annotations like @Entity.
Spring Data JPA is part of the Spring Data family and acts as an abstraction layer over JPA, combining JPA’s power with Spring’s simplicity. It eliminates the need for boilerplate DAO code and makes data access easier.
Below is the difference table of JPA and Spring Data JPA.
JPA | Spring Data JPA |
|---|---|
It is a specification of Object Relational Mapper in Java. | Spring Data JPA is a simplified abstraction over JPA. |
It can also manage transactions and is built on top of JDBC, allowing us to continue using our native database language. | Spring Data JPA adds a layer of abstraction to the JPA and more adaptable than JPA and provides simple repositories. |
For query language, JPA is JPQL (Java Persistence Query Language) | For query language, Spring Data JPA is JPQL (Java Persistence Query Language) |
It provides a JPA caching implementation technique for enhancing processes. | Spring Data JPA also provides a JPA caching process. |
It is mainly depends on the JPA implementation. | Spring Data JPA also relies on JPA implementations. |
It can work with any JPA-compliant implementation | Spring Data JPA works with any JPA-compliant implementation because it is built on top of JPA |
It can be integrated with the Spring | Spring Data JPA is a core module of the Spring Data family and is fully integrated with it. |