Difference Between Hibernate vs JDBC

Hibernate vs Jdbc both are one kind of specific approach for handling object-relational mapping data smartly and help any application for fetching data from the relational database without any kind of risk. Hibernate is mainly popular for handing object-relational mapping in a specific environment of Java ecosystem. Developers are normally preferred to use Hibernate due to its data caching ability and supporting multiple databases very easily by changing the dialect of that specific database. Whereas in case of JDBC object relation mapping is not been done automatically, the developer needs to concentrate on proper developing architecture for maintaining the same which is manual so the mistake can be possible. And also initial architecture design is too costly or extra efforts for any developer which can be easily avoidable in case of using hibernate.

JDBC is using simple database query or simple query language for communicating with a specific database as per requirement of that specific project. So it will never independent for multiple relational databases. In this case, also, a developer can able to develop one specific design for using the same codebase for multiple databases in case of JDBC as well by maintaining varieties queries for individual databases in multiple properties files and map them at the time of loading that specific application. That multiple properties files will hold specific relational databases SQL query’s requirement. But again it will be a big cost for the developer and not easy to do. Also, every time properties files need to be updated before moving to another relational database.

Head To Head Comparison Between Hibernate vs JDBC (Infographics)

Below is the top 3 difference between Hibernate vs JDBC

Key Differences Between Hibernate vs JDBC

Both Hibernate vs JDBC are popular choices in the market; let us discuss some of the major Difference Between Hibernate and JDBC

1. Hibernate is maintaining general Object Oriented mapping concept which designed in Java Platform. Hibernate has to define session factory as well as own transactional management with any relational database which makes this ORM tool most popular to a maximum developer. Whereas JDBC is maintaining normal JDBC connectivity in between application and relational database which not maintain any automatic object mapping mechanism or database transaction handling. A developer needs to be involved to prepare proper object-oriented mapping and transactional boundary which is always a costly effort anytime for any developer.
2. Hibernate can able to easily configurable for any popular relational databases without any changes or design in the data access object codebases. As it is maintaining proper object-oriented mapping so changing in the dialect is enough for switching relational database any time. It also has one big utility of creating all the related tables based on that database definition by enabling one specific property in hibernate configuration file. So migration of an existing project in a different database will always be very much easy on anytime approach by using hibernate. In case of JDBC changing of the database is not only configuration changes, but there also have big efforts on architectural changes of an entire application, as it is totally manual effort for changing the same. As JDBC fully depends on database specific SQL query, so we need to consider all the define query should be dynamic based on database changes. That dynamic approach can be defined by a different approach, one of the popular approaches is properties file defined for each and every database. And before application loading developer needs to identify those properties files of an individual database based on their names. Even design can be done for using a different database for the same application. Whereas hibernate actually do it automatically, nothing need to design manually.
3. One of the strong characteristics of Hibernate is a caching mechanism. As per considering any application performance ability, the developer always provided main concentration on less database connectivity, means communicating with a database as much less as possible. This caching mechanism helps on the same lot to a developer for any time on improving the performance of the application. Different kind of caching mechanism available in hibernate which can be used by the developer anytime based on project requirement. Actual utility of this feature is caching that specific relation object data in application memory and use the same without reconnecting with a database. Whereas JDBC doesn’t have any define caching mechanism available.

Hibernate vs JDBC Comparison Table

Below is the topmost comparison between Hibernate vs JDBC

Conclusion -Hibernate vs JDBC

Hibernate vs JDBC both can be used for connecting with database and fetching data from there in case of any business purpose of the application. Developer normally preferred JDBC if there don’t have any chance of changing database or continuation of complex legacy application. Hibernate is always preferable if people are really looking for proper object-relational mapping and define a transactional boundary without any manual effort.

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