In this article, we would like to discuss what is Hibernate, Spring Data, JPA, JPA vs hibernate, hibernate javatpoint, etc. Let’s first know the definition of Hibernate, JPA, and Spring Data JPA, so this will make it easy to discuss the difference between Hibernate and Spring Data JPA. So let’s begin!!
Hibernate is a Java framework that facilitates the growth of Java applications to interact with the database. It is an open-source, portable, ORM (Object Relational Mapping) tool. It enforces the specifications of JPA full form is the Java Persistence API for information endurance. Hibernate delivers a reference performance of the Java Persistence API that makes it a tremendous choice as an ORM tool with the advantages of a flexible coupling. Now let’s look at the tools of ORM.
An ORM tool streamlines data production, information manipulation, and data access. It is a programming strategy that maps the object to the information saved in the database. The ORM tool internally consumes the JDBC API to interact with the database. As we have learned this now, let’s look at what is JPA?
What is JPA?
Java Persistence API (JPA) is a Java specification that delivers distinct functionality and criterion to ORM tools. The java. persistence collection includes JPA lessons and interfaces. We will also discuss the advantages of the hibernate framework. Scroll down now!
Advantages of Hibernate Framework
Here are the advantages of the hibernate framework following:
- Open Source and portable
- Quick performance
- Database independent query
- Automatic table design
- Simplifies complicated join
- Delivers query statistics and database status
Now let’s look at these points in depth.
Open Source and portable
Hibernate framework is open-source under the LGPL license and it is lightweight.
In quick performance, the performance of the hibernate framework is fast because the cache is internally utilized in the framework of hibernating. There are two kinds of cache in the hibernate framework i.e. one is the first level cache and another is the second-level cache. The first level cache is allowed by default.
Database Independent Query
Hibernate Query Language i.e. HQL is the object-oriented edition of SQL. It develops database-independent queries or questions. So you do not expect to write database-specific queries. Before Hibernate, if the database is altered for the project, we require to change or modify the SQL query as well, which directs to the maintenance crisis.
Automatic Table Creation
Hibernate framework delivers the facility to build the tables of the database automatically. So there is no necessity to establish tables in the database manually.
Simplifies Complicated Join
Retrieving data from many tables is simple in a hibernate framework.
Delivers Query Statistics and Database Status
Hibernate favors Query cache and delivers statistics about query and database status.
What is JPA?
A Java Persistence API i.e. JPA is itself a specification of Java that is utilized to manage, access, and persist data between the Java objects and the relational databases. It is contemplated as a common approach for Object Relational Mapping i.e. ORM.
JPA can be recognized as a bridge between the object-oriented domain prototypes and relational database systems. JPA doesn’t conduct any operation by itself, being a specification. Therefore, it expects execution. So, ORM tools like Hibernate, iBatis, and TopLink execute JPA specifications for data endurance.
Now you might be curious to know if there is any need for JPA or not? Well, don’t worry because we will discuss the need for JPA in today’s technological world.
Need of JPA
As we have observed so far, JPA is a specification. It delivers common models and functionality to ORM tools. By executing the same specification, the whole ORM tools, for instance, Hibernate, TopLink, iBatis, etc. follow the established standards. In the future, if we like to switch our application from one ORM tool to another, we can do it effortlessly.
What Is Java Persistence API?
The Java Persistence API gives a specification for prevailing, reading, and managing information from the object of your Java to the relational tables in the database. Now let’s look at the framework of hibernate.
What Is Hibernate Framework?
Hibernate is an object-relational mapping treatment for Java environments. Object-relational mapping or let’s say ORM is the programming method to map application domain prototype objects to the relational database tables. It is a Java established ORM tool that gives a framework for mapping application domain objects to the relational database tables and also vice versa. It provides a source for implementation of the Java Persistence API that gives rise to it as an extraordinary choice as an ORM tool with advantages of loose coupling.
You should note that JPA is a specification and on the other hand Hibernate is a JPA provider or let’s say execution.
What Is Spring Data JPA?
Spring Data is a component of the Spring Framework. The purpose of the Spring Data repository abstraction is to significantly lessen the amount of boilerplate code needed to execute data access layers for multiple persistence stores.
Spring Data JPA is not a JPA provider as it is a library or framework that enhances as an extra layer of abstraction on the top of our JPA provider is added, such as Hibernate. As of now, you are well aware of the definition of JPA, Hibernate, and Spring Data JPA. So, finally, let’s discuss the differences between hibernate and spring data JPA.
The disparity between Spring Data JPA and Hibernate
Hibernate is a JPA implementation, while Spring Data JPA is a JPA Data Access Abstraction as we have discussed above. Spring Data proposes a solution to GenericDao custom implementations. It can further generate JPA queries on your behalf through the methodology or method name conventions.
With Spring Data, you probably utilize Hibernate, Eclipse Link, or any other JPA provider. A very interesting advantage is that you can control transaction boundaries declaratively. Spring Data JPA is not an implementation or a JPA provider; it’s hardly an abstraction used to significantly decrease the amount of boilerplate code required to enforce information or data access layers for many persistence stores. We hope this article is useful to you and if you need more information or any kind of help, we are here to help you as we have skilled data engineers. So come and contact us today!!!