Spring Boot 4 REST API with MySQL and Hibernate 7

Spring Boot 4 provides a modern and efficient way to build REST APIs in Java. When combined with Spring Data JPA, Hibernate 7, and MySQL, it becomes a powerful stack for developing database-driven backend applications.

In this tutorial, we will build a complete Spring Boot 4 REST API with MySQL and Hibernate 7. The application will expose REST endpoints for managing products and demonstrate how HTTP requests, Spring controllers, services, repositories, Hibernate ORM, and MySQL work together.

By the end of this tutorial, you will understand how to:

  • Create a Spring Boot 4 REST API
  • Connect Spring Boot to MySQL
  • Use Hibernate 7 through Spring Data JPA
  • Create REST endpoints
  • Accept JSON request data
  • Return JSON responses
  • Use HTTP status codes correctly
  • Add validation
  • Handle exceptions
  • Search database records
  • Test REST endpoints

Technologies Used

We will use:

Java 17+
Spring Boot 4
Spring Framework 7
Spring MVC
Spring Data JPA
Hibernate ORM 7
MySQL
Jakarta Persistence
Jakarta Validation
Maven

Spring Boot 4 uses the Spring Data JPA starter for JPA applications, with Hibernate as the ORM implementation managed by Spring Boot.


What is a REST API?

REST stands for Representational State Transfer.

A REST API allows applications to communicate using HTTP.

For example:

Client
   ↓
HTTP Request
   ↓
REST API
   ↓
Database
   ↓
HTTP Response
   ↓
Client

A client can be:

  • Web application
  • Mobile application
  • Desktop application
  • Another backend service
  • Postman
  • JavaScript frontend
  • React application

REST APIs commonly exchange information using JSON.


HTTP Methods Used in REST APIs

The main HTTP methods are:

HTTP MethodPurpose
GETRetrieve data
POSTCreate data
PUTUpdate data
PATCHPartially update data
DELETEDelete data

For our Product API, we will create endpoints such as:

GET    /api/products
GET    /api/products/1
POST   /api/products
PUT    /api/products/1
DELETE /api/products/1

Application Architecture

Our application will follow this structure:

Client
   ↓
REST Controller
   ↓
Service Layer
   ↓
Repository
   ↓
Spring Data JPA
   ↓
Hibernate 7
   ↓
MySQL

Each layer has a specific responsibility.


Step 1: Create the Spring Boot Project

Open Spring Initializr.

Configure:

Project: Maven
Language: Java
Spring Boot: 4.x
Group: com.programmingempire
Artifact: productapi
Name: productapi
Packaging: Jar
Java: 17 or later

Step 2: Add Dependencies

Add:

Spring Web
Spring Data JPA
MySQL Driver
Validation

For Spring Boot 4, the Spring MVC starter is spring-boot-starter-webmvc, while Spring Data JPA continues through spring-boot-starter-data-jpa.


Step 3: Check pom.xml

The important dependencies will look similar to:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-webmvc</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-validation</artifactId>
</dependency>

<dependency>
    <groupId>com.mysql</groupId>
    <artifactId>mysql-connector-j</artifactId>
    <scope>runtime</scope>
</dependency>

Do not manually force a Hibernate version unless you have a specific reason.

Spring Boot manages compatible versions for you.


Step 4: Create the MySQL Database

Open MySQL and create:

CREATE DATABASE productdb;

Verify:

SHOW DATABASES;

Then select it:

USE productdb;

Step 5: Configure MySQL

Open:

src/main/resources/application.properties

Add:

spring.datasource.url=jdbc:mysql://localhost:3306/productdb
spring.datasource.username=root
spring.datasource.password=your_password

spring.jpa.hibernate.ddl-auto=update
spring.jpa.show-sql=true

Replace:

your_password

with your local MySQL password.

For development, ddl-auto=update is convenient.

For production applications, schema migration tools such as Flyway or Liquibase are preferable.


Step 6: Create the Package Structure

Create:

com.programmingempire.productapi
│
├── controller
├── service
├── repository
├── entity
├── exception
└── ProductapiApplication.java

This structure keeps the application organized.


Step 7: Create the Product Entity

Create:

Product.java

inside the entity package.

package com.programmingempire.productapi.entity;

import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import jakarta.validation.constraints.NotBlank;
import jakarta.validation.constraints.Positive;

@Entity
@Table(name = "products")
public class Product {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @NotBlank(message = "Product name is required")
    private String name;

    @Positive(message = "Price must be greater than zero")
    private double price;

    @NotBlank(message = "Category is required")
    private String category;

    public Product() {
    }

    public Product(String name, double price, String category) {
        this.name = name;
        this.price = price;
        this.category = category;
    }

    public Long getId() {
        return id;
    }

    public void setId(Long id) {
        this.id = id;
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public double getPrice() {
        return price;
    }

    public void setPrice(double price) {
        this.price = price;
    }

    public String getCategory() {
        return category;
    }

    public void setCategory(String category) {
        this.category = category;
    }
}

Understanding the Entity

The annotation:

@Entity

marks the class as a persistent entity.

The annotation:

@Table(name = "products")

maps the entity to the products table.

The field:

@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;

represents the primary key.

Hibernate maps Product objects to database rows.


Step 8: Add Validation

We used:

@NotBlank

for required text fields.

For example:

@NotBlank(message = "Product name is required")
private String name;

We also used:

@Positive

to ensure the price is greater than zero.

@Positive(message = "Price must be greater than zero")
private double price;

Validation prevents incorrect data from reaching the database.


Step 9: Create ProductRepository

Create:

ProductRepository.java

inside the repository package.

package com.programmingempire.productapi.repository;

import java.util.List;

import org.springframework.data.jpa.repository.JpaRepository;

import com.programmingempire.productapi.entity.Product;

public interface ProductRepository
        extends JpaRepository<Product, Long> {

    List<Product> findByCategory(String category);

    List<Product> findByNameContainingIgnoreCase(String name);
}

By extending:

JpaRepository<Product, Long>

we automatically receive common persistence methods.

Examples include:

save()
findAll()
findById()
delete()
deleteById()
existsById()
count()

Step 10: Derived Query Methods

Spring Data JPA can derive queries from method names.

For example:

List<Product> findByCategory(String category);

can retrieve products belonging to a particular category.

Similarly:

List<Product> findByNameContainingIgnoreCase(String name);

can search for products whose names contain a specified value.

Conceptually:

Java Method Name
       ↓
Spring Data JPA
       ↓
Query Generation
       ↓
Hibernate
       ↓
SQL
       ↓
MySQL

Step 11: Create ProductNotFoundException

Create:

ProductNotFoundException.java

inside exception.

package com.programmingempire.productapi.exception;

public class ProductNotFoundException
        extends RuntimeException {

    public ProductNotFoundException(Long id) {
        super("Product not found with id: " + id);
    }
}

Step 12: Create the Service Layer

Create:

ProductService.java

inside service.

package com.programmingempire.productapi.service;

import java.util.List;

import org.springframework.stereotype.Service;

import com.programmingempire.productapi.entity.Product;
import com.programmingempire.productapi.exception.ProductNotFoundException;
import com.programmingempire.productapi.repository.ProductRepository;

@Service
public class ProductService {

    private final ProductRepository repository;

    public ProductService(ProductRepository repository) {
        this.repository = repository;
    }

    public List<Product> getAllProducts() {
        return repository.findAll();
    }

    public Product getProductById(Long id) {
        return repository.findById(id)
                .orElseThrow(() ->
                        new ProductNotFoundException(id));
    }

    public Product createProduct(Product product) {
        return repository.save(product);
    }

    public Product updateProduct(
            Long id, Product newProduct) {

        Product product = getProductById(id);

        product.setName(newProduct.getName());
        product.setPrice(newProduct.getPrice());
        product.setCategory(newProduct.getCategory());

        return repository.save(product);
    }

    public void deleteProduct(Long id) {

        Product product = getProductById(id);

        repository.delete(product);
    }

    public List<Product> getByCategory(String category) {
        return repository.findByCategory(category);
    }

    public List<Product> searchByName(String name) {
        return repository
                .findByNameContainingIgnoreCase(name);
    }
}

Why Use a Service?

The service layer handles application logic.

Instead of writing:

Controller
   ↓
Repository

we use:

Controller
   ↓
Service
   ↓
Repository

This separates HTTP handling from business logic.


Step 13: Create ProductController

Create:

ProductController.java

inside controller.

package com.programmingempire.productapi.controller;

import java.net.URI;
import java.util.List;

import jakarta.validation.Valid;

import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;

import com.programmingempire.productapi.entity.Product;
import com.programmingempire.productapi.service.ProductService;

@RestController
@RequestMapping("/api/products")
public class ProductController {

    private final ProductService service;

    public ProductController(ProductService service) {
        this.service = service;
    }

    @GetMapping
    public ResponseEntity<List<Product>>
            getAllProducts() {

        return ResponseEntity.ok(
                service.getAllProducts());
    }

    @GetMapping("/{id}")
    public ResponseEntity<Product>
            getProductById(@PathVariable Long id) {

        return ResponseEntity.ok(
                service.getProductById(id));
    }

    @PostMapping
    public ResponseEntity<Product> createProduct(
            @Valid @RequestBody Product product) {

        Product saved =
                service.createProduct(product);

        URI location =
                URI.create("/api/products/" + saved.getId());

        return ResponseEntity
                .created(location)
                .body(saved);
    }

    @PutMapping("/{id}")
    public ResponseEntity<Product> updateProduct(
            @PathVariable Long id,
            @Valid @RequestBody Product product) {

        return ResponseEntity.ok(
                service.updateProduct(id, product));
    }

    @DeleteMapping("/{id}")
    public ResponseEntity<Void> deleteProduct(
            @PathVariable Long id) {

        service.deleteProduct(id);

        return ResponseEntity.noContent().build();
    }

    @GetMapping("/category/{category}")
    public ResponseEntity<List<Product>>
            getByCategory(
                    @PathVariable String category) {

        return ResponseEntity.ok(
                service.getByCategory(category));
    }

    @GetMapping("/search")
    public ResponseEntity<List<Product>>
            searchProducts(
                    @RequestParam String name) {

        return ResponseEntity.ok(
                service.searchByName(name));
    }
}

Understanding @RestController

The annotation:

@RestController

marks the class as a REST controller.

It tells Spring that values returned from controller methods should be written directly to the HTTP response.

For Java objects, Spring converts them into JSON.


Understanding @RequestMapping

We use:

@RequestMapping("/api/products")

as the common URL prefix.

Therefore:

@GetMapping

maps to:

GET /api/products

and:

@GetMapping("/{id}")

maps to:

GET /api/products/{id}

Understanding @RequestBody

Consider:

@PostMapping
public ResponseEntity<Product> createProduct(
        @Valid @RequestBody Product product)

The annotation:

@RequestBody

tells Spring to convert incoming JSON into a Java object.

For example:

{
  "name": "Wireless Mouse",
  "price": 799,
  "category": "Electronics"
}

becomes a Product object.


Understanding @Valid

The annotation:

@Valid

activates validation.

If the request contains:

{
  "name": "",
  "price": -100,
  "category": ""
}

validation will fail before invalid information reaches the database.


Step 14: Add Global Exception Handling

Create:

GlobalExceptionHandler.java

inside the exception package.

package com.programmingempire.productapi.exception;

import java.util.HashMap;
import java.util.Map;

import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.MethodArgumentNotValidException;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.RestControllerAdvice;

@RestControllerAdvice
public class GlobalExceptionHandler {

    @ExceptionHandler(ProductNotFoundException.class)
    public ResponseEntity<Map<String, String>>
            handleNotFound(
                    ProductNotFoundException ex) {

        return ResponseEntity
                .status(HttpStatus.NOT_FOUND)
                .body(Map.of(
                        "message",
                        ex.getMessage()));
    }

    @ExceptionHandler(
            MethodArgumentNotValidException.class)
    public ResponseEntity<Map<String, String>>
            handleValidation(
                    MethodArgumentNotValidException ex) {

        Map<String, String> errors =
                new HashMap<>();

        ex.getBindingResult()
                .getFieldErrors()
                .forEach(error ->
                        errors.put(
                                error.getField(),
                                error.getDefaultMessage()));

        return ResponseEntity
                .badRequest()
                .body(errors);
    }
}

Why Exception Handling Matters

A REST API should return meaningful HTTP responses.

For example:

Product exists
      ↓
200 OK

Product created
      ↓
201 Created

Invalid request
      ↓
400 Bad Request

Product not found
      ↓
404 Not Found

Without proper exception handling, clients may receive confusing internal error responses.


Step 15: Run the Application

Run:

ProductapiApplication.java

The main class will look similar to:

package com.programmingempire.productapi;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class ProductapiApplication {

    public static void main(String[] args) {

        SpringApplication.run(
                ProductapiApplication.class,
                args);
    }
}

By default, the application runs on:

http://localhost:8080

Step 16: Create a Product

Send:

POST http://localhost:8080/api/products

Request body:

{
  "name": "Wireless Mouse",
  "price": 799,
  "category": "Electronics"
}

Possible response:

{
  "id": 1,
  "name": "Wireless Mouse",
  "price": 799.0,
  "category": "Electronics"
}

HTTP status:

201 Created

Why Use 201 Created?

When a new resource is created successfully, a REST API should preferably return:

201 Created

rather than simply:

200 OK

The response can also contain a Location header indicating the URL of the newly created resource.

For example:

/api/products/1

Step 17: Add More Products

POST:

{
  "name": "Mechanical Keyboard",
  "price": 2499,
  "category": "Electronics"
}

Another:

{
  "name": "Java Programming Book",
  "price": 650,
  "category": "Books"
}

Another:

{
  "name": "Laptop Stand",
  "price": 1199,
  "category": "Accessories"
}

Step 18: Get All Products

Send:

GET http://localhost:8080/api/products

Possible response:

[
  {
    "id": 1,
    "name": "Wireless Mouse",
    "price": 799.0,
    "category": "Electronics"
  },
  {
    "id": 2,
    "name": "Mechanical Keyboard",
    "price": 2499.0,
    "category": "Electronics"
  },
  {
    "id": 3,
    "name": "Java Programming Book",
    "price": 650.0,
    "category": "Books"
  }
]

Step 19: Get Product by ID

Send:

GET http://localhost:8080/api/products/1

Response:

{
  "id": 1,
  "name": "Wireless Mouse",
  "price": 799.0,
  "category": "Electronics"
}

Step 20: Test a Missing Product

Send:

GET http://localhost:8080/api/products/999

Response:

{
  "message": "Product not found with id: 999"
}

HTTP status:

404 Not Found

This is better REST API behavior than returning an empty successful response.


Step 21: Update a Product

Send:

PUT http://localhost:8080/api/products/1

Request body:

{
  "name": "Wireless Gaming Mouse",
  "price": 1299,
  "category": "Electronics"
}

Response:

{
  "id": 1,
  "name": "Wireless Gaming Mouse",
  "price": 1299.0,
  "category": "Electronics"
}

Step 22: Delete a Product

Send:

DELETE http://localhost:8080/api/products/2

Successful response:

204 No Content

A DELETE endpoint does not always need to return a JSON body.


Step 23: Search by Category

Send:

GET http://localhost:8080/api/products/category/Electronics

Possible response:

[
  {
    "id": 1,
    "name": "Wireless Gaming Mouse",
    "price": 1299.0,
    "category": "Electronics"
  }
]

Step 24: Search Products by Name

Send:

GET http://localhost:8080/api/products/search?name=mouse

Possible response:

[
  {
    "id": 1,
    "name": "Wireless Gaming Mouse",
    "price": 1299.0,
    "category": "Electronics"
  }
]

The repository method:

findByNameContainingIgnoreCase(name)

makes the search case-insensitive.


Step 25: Test Validation

Send:

POST http://localhost:8080/api/products

with:

{
  "name": "",
  "price": -500,
  "category": ""
}

The application may return:

{
  "name": "Product name is required",
  "price": "Price must be greater than zero",
  "category": "Category is required"
}

with:

400 Bad Request

This protects the database from invalid input.


REST API Endpoints Summary

OperationMethodEndpoint
Get all productsGET/api/products
Get one productGET/api/products/{id}
Create productPOST/api/products
Update productPUT/api/products/{id}
Delete productDELETE/api/products/{id}
Find by categoryGET/api/products/category/{category}
Search by nameGET/api/products/search?name=value

Important HTTP Status Codes

REST developers should understand HTTP status codes.

200 OK

Used when a request succeeds.

Example:

GET /api/products/1

201 Created

Used when a new resource is created.

Example:

POST /api/products

204 No Content

Useful after successful deletion.

Example:

DELETE /api/products/1

400 Bad Request

Used when request data is invalid.

Example:

Negative product price

404 Not Found

Used when the requested resource does not exist.

Example:

GET /api/products/999

500 Internal Server Error

Indicates an unexpected server-side problem.

Applications should avoid exposing internal stack traces or sensitive implementation details to API clients.


How Hibernate 7 Works in This Application

Suppose the controller receives:

POST /api/products

with JSON.

The flow is:

JSON Request
     ↓
Spring MVC
     ↓
Product Object
     ↓
Controller
     ↓
Service
     ↓
Repository.save()
     ↓
Spring Data JPA
     ↓
Hibernate 7
     ↓
INSERT SQL
     ↓
MySQL

When the product is retrieved:

GET /api/products/1
     ↓
Controller
     ↓
Service
     ↓
repository.findById()
     ↓
Hibernate 7
     ↓
SELECT SQL
     ↓
MySQL
     ↓
Product Object
     ↓
JSON Response

Hibernate and Spring Data JPA Are Not the Same

This distinction is important.

Jakarta Persistence

Defines the persistence standard.

Examples:

@Entity
@Id
@OneToMany

Hibernate

Implements Jakarta Persistence and performs ORM operations.

Spring Data JPA

Provides higher-level repository abstractions.

Therefore:

Spring Data JPA
       ↓
Jakarta Persistence
       ↓
Hibernate ORM
       ↓
Database

Why Use MySQL?

MySQL is popular because it is:

  • Relational
  • Mature
  • Widely supported
  • Easy to install
  • Suitable for learning
  • Common in web applications

However, the same Spring application can work with databases such as:

PostgreSQL
MariaDB
Oracle
SQL Server
H2

with appropriate driver and configuration changes.


Testing REST APIs with Postman

Postman is a convenient tool for testing REST endpoints.

For a POST request:

POST
http://localhost:8080/api/products

Select:

Body
→ raw
→ JSON

Then enter:

{
  "name": "Laptop Stand",
  "price": 1199,
  "category": "Accessories"
}

Click:

Send

You should receive a JSON response.


Testing with curl

You can also use curl.

GET

curl http://localhost:8080/api/products

POST

curl -X POST http://localhost:8080/api/products \
-H "Content-Type: application/json" \
-d "{\"name\":\"Laptop Stand\",\"price\":1199,\"category\":\"Accessories\"}"

Verify MySQL Data

Open MySQL:

USE productdb;

SELECT * FROM products;

The table may contain:

id | name                    | price | category
------------------------------------------------
1  | Wireless Gaming Mouse   | 1299  | Electronics
3  | Java Programming Book   | 650   | Books
4  | Laptop Stand            | 1199  | Accessories

Why Return JSON?

JSON is lightweight and widely supported.

For example:

{
  "id": 1,
  "name": "Wireless Mouse",
  "price": 799
}

can easily be consumed by:

React
Angular
Vue
Android
iOS
JavaScript
Python
Other Java applications

This makes REST APIs independent of a particular frontend technology.


Common Mistakes

1. Putting Business Logic in Controllers

Avoid:

Controller
→ All database logic
→ All validation
→ All business rules

Prefer:

Controller
→ Service
→ Repository

2. Exposing Database Passwords

Avoid publishing:

spring.datasource.password=real_password

Use environment variables or external configuration in production.


3. Returning 200 for Every Situation

Use meaningful status codes.

For example:

201 → Created
400 → Invalid data
404 → Not found
204 → Deleted successfully

4. Skipping Validation

Never assume client input is always correct.

Validate important fields.


5. Manually Forcing Hibernate Versions

Spring Boot manages Hibernate compatibility through its dependency management. The Spring Boot 4 migration documentation continues to identify spring-boot-starter-data-jpa as the Spring Data JPA + Hibernate starter.


Production Improvements

The application built here is a good learning project.

For a production REST API, consider adding:

DTOs
Pagination
Sorting
Filtering
Spring Security
JWT Authentication
OpenAPI / Swagger
Flyway
Docker
Automated Tests
Logging
Observability
Caching
Rate Limiting
API Versioning

Why Use DTOs in Larger APIs?

Our example returns Product entities directly.

This is acceptable for a simple tutorial.

In larger applications, use DTOs:

Database Entity
      ↓
Service
      ↓
DTO
      ↓
Controller
      ↓
JSON Response

DTOs help separate the public API representation from database entities.


Example Product DTO

A modern Java record can be used:

public record ProductResponse(
        Long id,
        String name,
        double price,
        String category) {
}

The API can return this DTO rather than exposing the persistence entity directly.


REST API Best Practices

When building Spring Boot APIs, follow these practices:

  • Use nouns in endpoint URLs
  • Use HTTP methods correctly
  • Return appropriate status codes
  • Validate input
  • Handle errors consistently
  • Avoid exposing sensitive information
  • Use DTOs in larger systems
  • Paginate large datasets
  • Secure private endpoints
  • Version public APIs when necessary
  • Document endpoints

Instead of:

/getAllProducts

prefer:

GET /api/products

Instead of:

/deleteProduct/1

prefer:

DELETE /api/products/1

Spring Boot 4 REST API Architecture

The complete architecture looks like this:

             CLIENT
                ↓
           HTTP REQUEST
                ↓
       Spring MVC Layer
                ↓
       ProductController
                ↓
        ProductService
                ↓
      ProductRepository
                ↓
       Spring Data JPA
                ↓
         Hibernate 7
                ↓
              SQL
                ↓
             MySQL
                ↓
             DATA
                ↓
         JSON RESPONSE
                ↓
             CLIENT

Frequently Asked Questions

Does Spring Boot 4 support Hibernate 7?

Yes. Spring Boot 4 uses the Hibernate ORM 7 generation through its managed Spring Data JPA stack. The exact Hibernate maintenance version depends on the Spring Boot 4.x release.

Is Hibernate configured manually?

Usually not. Spring Boot auto-configures JPA and Hibernate when the required dependencies and datasource settings are present.

Is Spring Data JPA required?

No, but it greatly simplifies repository development and is commonly used with Hibernate in Spring Boot applications.

Can I use MySQL with Spring Boot 4?

Yes. Add the MySQL JDBC driver and configure the datasource URL, username, and password.

What is @RestController?

@RestController marks a class as a REST controller whose handler methods return data directly in the HTTP response.

What is @RequestBody?

@RequestBody converts incoming HTTP request data, typically JSON, into a Java object.

What does @Valid do?

@Valid activates Jakarta Validation rules defined on the request object.

Can React use this REST API?

Yes. React, Angular, Vue, mobile applications, and other clients can consume these endpoints using HTTP.


Conclusion

In this tutorial, we created a complete Spring Boot 4 REST API with MySQL and Hibernate 7.

We learned how:

Client
   ↓
Spring MVC
   ↓
Controller
   ↓
Service
   ↓
Spring Data JPA
   ↓
Hibernate 7
   ↓
MySQL

work together.

We also implemented:

  • GET endpoints
  • POST endpoints
  • PUT endpoints
  • DELETE endpoints
  • JSON request handling
  • JSON responses
  • Validation
  • Exception handling
  • HTTP status codes
  • Category search
  • Product-name search

Spring Boot handles much of the infrastructure configuration, Spring Data JPA reduces repetitive persistence code, Hibernate maps Java objects to relational data, and MySQL stores the application information.

Understanding this architecture gives you a strong foundation for building larger Java backend applications, microservices, and cloud-based REST APIs using Spring Boot 4.


Further Reading

Spring Boot 4 Tutorial for Beginners: Build Your First Application (2026)

Spring Boot 4 vs Spring Boot 3: What Changed?

Spring Framework 7: New Features Developers Should Know in 2026

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