Why is hibernate better than jdbc

From the above-mentioned points, it is crystal clear that Hibernate will definitely increase the performance of your application and help you to reduce the development time for your application and hence the cost. You can find some of the other open source persistence frameworks in JAVA in this link.

Do you want to Automate your complete loan cycle with the digitized software platform? Apply Now Thank you for your interest. If you are not a robot then please try again. Hey Java Developer, Have you ever feel irritated by repeating the same lines of code over and over again in your application for fetching data from the database?

Are you struggling to map objects to your database tables? Is it difficult for you to implement oops with your JDBC code? Does it takes too much of rework while migrating from one database to another? Have you ever found it difficult to create associations between tables using JDBC? What is JDBC? JDBC Workflow. Source: avaldes. Opens a database connection Sends SQL queries to database using a JDBC driver JDBC driver connects to database Executes the queries to get the result set Sends the data to the application via the driver manager When results are returned, then it processes the data Finally, the connection is closed.

What is Hibernate? Source: J2eebrain. Hibernate Workflow. Source: Cloudsopedia. The results are mapped to objects based on the properties given in the Hibernate configuration XML file. The database connection from an application is created using session which also helps in saving and retrieving the persistent object.

Session factory is an interface which helps to create an instance of a session. There must be only one session factory per database. There will not be more than one session factory per MySQL alone. The utilization of JPAs relies on mapping Java objects to database fields. More often than not, you will like to detect changes in the database.

The debate will keep raging between JDBC vs. 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. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. We are all aware of the changes that are going on in Java like the change of the name of […].

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Map and HashMap — These two terms have been contrasted in this post. October 22, Take a look at the Spring and Ibatis Tutorial. But what I really like about the Hibernate approach some others too is the conceptual model you can get in Java is better. Although I don't think of OO as a panacea, and I don't look for theoritical purity of the design, I found so many times that OO does in fact simplify my code.

As you asked specifically for details, here are some examples :. For maintainers, the hard part is not a few framework classes but your model, so Hibernate allows you to keep the hard part the model at its cleanest. Therefore :. Hibernate has also many features to deal with other model caracteristics you might need now or later, add them only as needed.

Take it as an extensibility quality for your design. With reuse between your entities but only appropriate inheritance , and composition , there is usually some additional advantages to come. Examples :. Over time, the requirements evolve. There will be a point where your database structure has problems. With JDBC alone, any change to the database must impact the code ie. With Hibernate, many changes can be absorbed by changing only the mapping, not the code. The same happens the other way around : Hibernate lets you change your code between versions for example without altering your database changing the mapping, although it is not always sufficient.

To summarize, Hibernate lets your evolve your database and your code independtly. I think either is a fine choice, but personally I would use hibernate. I don't think hibernate is overkill for a project of that size. Doing JDBC by hand can take a lot of code if you deal with modifying parent and children grandchildren, siblings, etc at the same time.

Hibernate can make this a breeze often a single save of the parent entity is enough. There are certainly complexities when dealing with Hibernate though, such as understanding how the Session flushing works, and dealing with lazy loading. In contrast, besides transactional control, there is not much help from having Spring when working with JPA. Hibernate best suits for the middleware applications. Assume that we build a middle ware on top of the data base, The middelware is accessed by around 20 applications in that case we can have a hibernate which satisfies the requirement of all 20 applications.

In JDBC, if we open a database connection we need to write in try, and if any exceptions occurred catch block will takers about it, and finally used to close the connections. In jdbc all exceptions are checked exceptions, so we must write code in try, catch and throws, but in hibernate we only have Un-checked exceptions.

Here as a programmer we must close the connection, or we may get a chance to get our of connections message…! JDBC used to generate database related error codes if an exception will occurs, but java programmers are unknown about this error codes right. In hibernate if we save the derived class object, then its base class object will also be stored into the database, it means hibernate supporting inheritance.

Hibernate supports caching mechanism by this, the number of round trips between an application and the database will be reduced, by using this caching technique an application performance will be increased automatically.

Hibernate has capability to generate primary keys automatically while we are storing the records into database. You could look at Ebean ORM which doesn't use session objects Certainly an option, not overkill, and will be simpler to understand.

Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 12 years, 2 months ago. Developer has to write code in JDBC to map an object model's data representation to a relational data model and its corresponding database schema.

Hibernate itself takes care of this mapping using XML files so developer does not need to write code for this. It also supports native SQL statements. Hibernate provides transparent persistence and therefore there is no need to map database tables tuples to application objects during interaction with RDBMS. With JDBC, caching needs to be manually maintained.

Hibernate cache is set to application work space. Relational tuples are moved to this cache as a result of query.