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JDBC stands for Java Database Connectivity allows developers to connect, query and update a database using the Structured Query Language. JDBC API standard provides Java developers to interact with different RDBMS and access table data through Java application without learning RDBMS details and using Database Specific JDBC Drivers.
Hibernate is an Object-Relational Mapping (ORM) solution for JAVA. It is a powerful, high performance object/relational persistence and query service. It allows us to develop persistent classes following object-oriented idiom – including association, inheritance and polymorphism.
Listed below is the comparison chart of difference beetween JDBC and Hibernate
With JDBC, developer has to write code to map an object model's data representation to a relational data model and its corresponding database schema.
Hibernate is flexible and powerful ORM solution to map Java classes to database tables. Hibernate itself takes care of this mapping using XML files so developer does not need to write code for this.
With JDBC, the automatic mapping of Java objects with database tables and vice versa conversion is to be taken care of by the developer manually with lines of code.
Hibernate provides transparent persistence and developer does not need to write code explicitly to map database tables tuples to application objects during interaction with RDBMS.
JDBC supports only native Structured Query Language (SQL). Developer has to find out the efficient way to access database, i.e. to select effective query from a number of queries to perform same task.
Hibernate provides a powerful query language Hibernate Query Language (independent from type of database) that is expressed in a familiar SQL like syntax and includes full support for polymorphic queries. Hibernate also supports native SQL statements. It also selects an effective way to perform a database manipulation task for an application.
Application using JDBC to handle persistent data (database tables) having database specific code in large amount. The code written to map table data to application objects and vice versa is actually to map table fields to object properties. As table changed or database changed then it’s essential to change object structure as well as to change code written to map table-to-object/object-to-table.
Hibernate provides this mapping itself. The actual mapping between tables and application objects is done in XML files. If there is change in Database or in any table then the only need to change XML file properties.
With JDBC, it is developer’s responsibility to handle JDBC result set and convert it to Java objects through code to use this persistent data in application. So with JDBC, mapping between Java objects and database tables is done manually.
Hibernate reduces lines of code by maintaining object-table mapping itself and returns result to application in form of Java objects. It relieves programmer from manual handling of persistent data, hence reducing the development time and maintenance cost.
With JDBC, caching is maintained by hand-coding.
Hibernate, with Transparent Persistence, cache is set to application work space. Relational tuples are moved to this cache as a result of query. It improves performance if client application reads same data many times for same write. Automatic Transparent Persistence allows the developer to concentrate more on business logic rather than this application code.
In JDBC there is no check that always every user has updated data. This check has to be added by the developer.
Hibernate enables developer to define version type field to application, due to this defined field Hibernate updates version field of database table every time relational tuple is updated in form of Java class object to that table. So if two users retrieve same tuple and then modify it and one user save this modified tuple to database, version is automatically updated for this tuple by Hibernate. When other user tries to save updated tuple to database then it does not allow saving it because this user does not have updated data.
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1. There is no comparison of performance in the artic
View Tutorial By: Tomas at 2010-01-17 05:53:48
3. From the last 2 year. i'm working on hibernate fra
View Tutorial By: nick at 2011-01-03 02:11:48
4. Hibernate with annotations and QBE api reduced our
View Tutorial By: Andrew at 2011-04-29 10:34:26
5. I created performance test beetwen hibernate and J
View Tutorial By: Tomek at 2011-05-21 07:17:50
6. Hibernate can be an effective framework if one app
View Tutorial By: Giao Vu at 2011-08-03 23:40:02
8. Thank you for good explanation. I am thinking of u
View Tutorial By: Darshan at 2012-06-22 15:44:57
9. This is just Great, didn't find anything like this
View Tutorial By: Vikrant Verma at 2012-10-07 04:54:42
13. good but not v.good. it seems the author is big fa
View Tutorial By: Muhammad Ishaq Awan at 2014-10-29 07:00:44
14. Unable to understand all the points, quiet confusi
View Tutorial By: KB at 2015-04-15 10:11:14
16. I'm just learning about these differences. I'm not
View Tutorial By: Radu Anastase at 2015-08-07 13:00:15
18. Fantastic article - For what it's worth , if someo
View Tutorial By: Davida Harnish at 2016-04-15 10:57:06