JDBC vs Hibernate Performance Benchmark

JDBC is an API that allows you to access a relational database within a java program. It lets you execute SQL statements from the Java code. A SQL statement that can run on a database directly can be run with Java code via JDBC.

Hibernate is a light-weight, non-invasive, open-source java Object Relational Mapping framework. It is utilized to develop objects that are database-independent and create independent persistence logic. The interaction of databases with Java applications is simplified.

In this blog, we will look at the basic differences between JDBC & Hibernate that will let you select the one that suits your requirements.

Benefits of JDBC over Hibernate!

Simple Solution

Hibernate is mostly considered for complex apps. JDBC is a much better option, if:

If an app is using a simple database that does not require to migrate, or
If the application needs data to be stored in database tables that won’t require object-mapping to 2 or 2+ table versions.

In short, JDBC is a better option for simple processes.

Easy To Learn & Use

JDBC is much easier to learn. If a developer fails to comprehend Hibernate’s internal workflows & database design, it can be difficult to code. In comparison, JDBC is pretty easy to use.

Faster development performance and tests

The startup performance of Hibernate is not as good as JDBC. It takes a few seconds to load an app due to pre-caching.

Great Support

JDBC has been developed by the Oracle Corporation. The developers have access to dedicated customer service teams who can help with any queries.

While it is also possible for the Hibernate programmers to get help on issues, they have to wait for a reply after posting questions to a forum.

Benefits of JDBC over Hibernate!

Database Independence

Hibernate allows mapping between data tables & apps to be made with XML files. Thus, it is quite easier to migrate to newer databases if such a requirement arises.

Automatic Object Mapping

Hibernate can perform automatic object mapping. Also called “Transparent Persistence“, this allows mapping of database tables to application objects while interacting with RDBMS.

On the other hand, JDBC programmers have to code to deal with this problem which is time-consuming.

Hibernate vs. JDBC Performance

How data is retained for repeated utilization is an important factor. Thus, caching is a crucial component of database performance that aids in reducing the time & resources spent on accessing the disk. Hibernate’s automatic object mapping in combination with the cache processes(set to the app workspace) improves performance.

In comparison, JDBC has no caching mechanism and needs to be coded separately.

Connection Pooling

Hibernate supports “connection pooling” to store database connections in the cache. With assistance from an external tool, Hibernate can reutilize the connections from the cache. If your app is trying to connect to the same database multiple times, it is very handy.

Code-portability

Hibernate comes with Java Persistence Annotations (JPAs). The utilization of JPAs relies on mapping Java objects to database fields. JPAs such as “@Table”, “@Column”, etc allow you to easily port your code to other ORM frameworks.

Hibernate makes it easy to audit your changes to an entity

More often than not, you will like to detect changes in the database. The “Envers” library in Hibernate is here to help! If you need to audit a persistent class, just simply annotate it with “@Audited”. Y/ou can view the history of alterations as a table for every “audited” entity that gets created.

Closing Thoughts:

The debate will keep raging between JDBC vs. Hibernate. Both Hibernate & JDBC facilitate accessing relational tables with Java code. Hibernate is a more efficient & object-oriented approach for accessing a database. However, it is a bit slower performance-wise in comparison to JDBC. Depending on the requirement of your project, you can choose the most suitable option.

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Vaishali Bhatt Technical Content Writer

AUTHOR

Vaishali Bhatt is a technical writer at Ksolves with a long history of covering advanced technologies, from Apache Projects to Artificial Intelligence and Machine Learning, with a particular focus on cloud computing and Salesforce in her articles or blogs. Over the course of a career spent in the research and technology arena, she has polished her expertise at breaking down difficult concepts into terms that a layman can understand.

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JDBC vs Hibernate Performance Benchmark: A Fair Opinion!