Spring Data JDBC is part of the Spring Data project and provides a way to work with relational databases using the Java Persistence API (JPA) while maintaining the simplicity and flexibility of JDBC (Java Database Connectivity). It’s designed for developers who prefer to write SQL queries and control their database interactions directly, rather than relying on an Object-Relational Mapping (ORM) framework like Hibernate or JPA.

Here are some key points about Spring Data JDBC:

1. SQL-Centric Approach: Spring Data JDBC allows developers to write SQL queries explicitly to interact with the database. It does not introduce an additional layer of abstraction like JPA or Hibernate. This approach is well-suited for developers who are comfortable with SQL and want more control over their queries.

2. Lightweight and Opinionated: Spring Data JDBC is lightweight and opinionated, which means it provides a set of conventions and defaults to simplify database access. It avoids generating SQL queries automatically and prefers to let developers define their SQL.

3. Domain-Driven Design (DDD) Support: Spring Data JDBC is a good fit for applications following Domain-Driven Design principles. It allows you to map domain objects to database tables while still keeping the control over SQL queries.

4. Repository Support: Just like other Spring Data modules, Spring Data JDBC provides repository interfaces and queries. Developers can define repositories for their domain objects and write custom SQL queries using the @Query annotation.

5. Entity Mapping: Spring Data JDBC supports entity mapping using annotations, similar to JPA. You can annotate your domain objects to specify how they are mapped to database tables.

6. Automatic Query Generation: While Spring Data JDBC encourages explicit SQL, it still provides some automatic query generation capabilities for common operations. This allows you to save time when dealing with simple CRUD (Create, Read, Update, Delete) operations.

7. Transaction Management: Spring Data JDBC integrates with Spring’s transaction management, allowing you to work with database transactions in a declarative way.

8. Custom Query Support: You can define custom SQL queries in repository methods using the @Query annotation or by implementing custom repository interfaces.

9. Event Handling: Spring Data JDBC provides event handling mechanisms that allow you to react to certain database events, such as entity creation, modification, or deletion.

10. Integration with Spring Boot: Spring Data JDBC can be easily integrated into Spring Boot applications, providing auto-configuration options and seamless integration with other Spring technologies.

11. Support for Multiple Databases: Spring Data JDBC supports various relational databases, so you can use it with different database systems.