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Navigating the Database Landscape: JDBC vs. ORM

Naveen Metta
5 min readDec 27, 2023

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credit goes to the owner : https://dev.to/yigi/hibernate-vs-jdbc-vs-jpa-vs-spring-data-jpa-1421
source : dev.to

Introduction:
In the vast sea of data persistence in Java applications, two significant vessels, JDBC (Java Database Connectivity) and ORM (Object-Relational Mapping), sail side by side, each with its course and destination. In this comprehensive exploration, we will delve deeper into the nuances of JDBC and ORM, understanding their intricacies, comparing their strengths and weaknesses, and helping you chart the right course for your database interactions.

JDBC Unveiled:
What’s JDBC?
JDBC, or Java Database Connectivity, stands as the foundational API that enables Java applications to interact with relational databases. It provides a standardized interface, allowing developers to create database connections, execute SQL queries, and process the results seamlessly. The essence of JDBC lies in creating a connection to the database, crafting and executing SQL statements, and intelligently handling the results.

How’s JDBC Implemented?
Database Connection:

Connection connection = DriverManager.getConnection("jdbc:mysql://localhost:3306/mydatabase", "username", "password");

SQL Execution:

Statement statement = connection.createStatement();
ResultSet resultSet =…

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Naveen Metta
Naveen Metta

Written by Naveen Metta

I'm a Full Stack Developer with 3+ years of experience. feel free to reach out for any help : mettanaveen701@gmail.com

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