Skip to main content

Differences Between Hibernate and Spring Data JPA?

Differences Between Hibernate and Spring Data JPA?


In this quick article, I would like to describe what is the difference between Hibernate ORM framework and Spring Data JPA.
Let's first know the definition of JPA, Hibernate, and Spring Data JPA, so this will make it easy to discuss the difference between Hibernate and Spring Data JPA.

What Is Java Persistence API?

The Java Persistence API provides a specification for persisting, reading, and managing data from your Java object to relational tables in the database.
Read more about JPA at JPA Tutorial - Java Persistence API (you will learn everything about JPA here).

What Is Hibernate Framework?

Hibernate is an object-relational mapping solution for Java environments. Object-relational mapping or ORM is the programming technique to map application domain model objects to the relational database tables. Hibernate is a Java-based ORM tool that provides a framework for mapping application domain objects to the relational database tables and vice versa.
Hibernate provides a reference implementation of the Java Persistence API that makes it a great choice as ORM tool with benefits of loose coupling.
Read more about Hibernate framework at Hibernate ORM Tutorial (you will learn everything about Hibernate here).
Note that JPA is a specification and Hibernate is a JPA provider or implementation.

What Is Spring Data JPA?

Spring Data is a part of the Spring Framework. The goal of Spring Data repository abstraction is to significantly reduce the amount of boilerplate code required to implement data access layers for various persistence stores.
Spring Data JPA is not a JPA provider. It is a library/framework that adds an extra layer of abstraction on the top of our JPA provider (like Hibernate).
Read more about Spring Data JPA at Spring Data JPA Tutorial (you will learn everything about Spring Data JPA here).
Now, you are familiar with Definition of JPA, Hibernate, and Spring Data JPA. Now, let's discuss the difference between Hibernate and Spring Data JPA.

What Is the Difference Between Hibernate and Spring Data JPA?

Hibernate is a JPA implementation, while Spring Data JPA is a JPA Data Access Abstraction. Spring Data offers a solution to GenericDao custom implementations. It can also generate JPA queries on your behalf through method name conventions.
With Spring Data, you may use Hibernate, Eclipse Link, or any other JPA provider. A very interesting benefit is that you can control transaction boundaries declaratively using the @Transactional annotation.
Spring Data JPA is not an implementation or JPA provider, it's just an abstraction used to significantly reduce the amount of boilerplate code required to implement data access layers for various persistence stores. I hope this article useful to you. You can find more answers to this question at StackOverflow.
Hibernate provides a reference implementation of the Java Persistence API that makes it a great choice as an ORM tool with benefits of loose coupling.
Remember, Spring Data JPA always requires the JPA provider such as Hibernate or Eclipse Link.

Comments

Post a Comment

Popular posts from this blog

Let's Understand Ten Machine Learning Algorithms

Ten Machine Learning Algorithms to Learn Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X can train on any type of data”, where X = some algorithm, some others are “Right tool for the right job people”. A lot of them also subscribe to “Jack of all trades. Master of one” strategy, where they have one area of deep expertise and know slightly about different fields of Machine Learning. That said, no one can deny the fact that as practicing Data Scientists, we will have to know basics of some common machine learning algorithms, which would help us engage with a new-domain problem we come across. This is a whirlwind tour of common machine learning algorithms and quick resources about them which can help you get started on them. 1. Principal Component Analysis(PCA)/SVD PCA is an unsupervised method to understand global properties of a dataset consisting of vectors. Covariance Matrix of data points is analyzed here to un...
Post a Comment
Read more

gRPC with Java : Build Fast & Scalable Modern API & Microservices using Protocol Buffers

gRPC Java Master Class : Build Fast & Scalable Modern API for your Microservice using gRPC Protocol Buffers gRPC is a revolutionary and modern way to define and write APIs for your microservices. The days of REST, JSON and Swagger are over! Now writing an API is easy, simple, fast and efficient. gRPC is created by Google and Square, is an official CNCF project (like Docker and Kubernetes) and is now used by the biggest tech companies such as Netflix, CoreOS, CockRoachDB, and so on! gRPC is very popular and has over 15,000 stars on GitHub (2 times what Kafka has!). I am convinced that gRPC is the FUTURE for writing API for microservices so I want to give you a chance to learn about it TODAY. Amongst the advantage of gRPC: 1) All your APIs and messages are simply defined using Protocol Buffers 2) All your server and client code for any programming language gets generated automatically for free! Saves you hours of programming 3) Data is compact and serialised 4) API ...
Post a Comment
Read more

What is Big Data ?

What is Big Data ? It is now time to answer an important question – What is Big Data? Big data, as defined by Wikipedia, is this: “Big data is a broad term for  data sets  so large or complex that traditional  data processing  applications are inadequate. Challenges include  analysis , capture,  data curation , search,  sharing ,  storage , transfer ,  visualization ,  querying  and  information privacy . The term often refers simply to the use of  predictive analytics  or certain other advanced methods to extract value from data, and seldom to a particular size of data set.” In simple terms, Big Data is data that has the 3 characteristics that we mentioned in the last section – • It is big – typically in terabytes or even petabytes • It is varied – it could be a traditional database, it could be video data, log data, text data or even voice data • It keeps increasing as new data keeps flowing in This kin...
Post a Comment
Read more