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!
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.
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!
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.
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.
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.
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.
Contact Us for any Query
Email : email@example.com
Call : +91 8130704295
Read Related Articles :
Here’s Why You Must Deploy Java Microservices on the Cloud