What Java ORM do you prefer, and why?

java

orm

hibernate

jdbc

byAlex Kataev·Aug 6, 2024

Opt for Hibernate for complex applications, leveraging its rich functionalities, including Lazy Loading and Caching. Hibernate's HQL allows expressive queries just like native SQL. Here's a taste:

// Meet John Doe
User user = session.createQuery("FROM User WHERE id = :userId", User.class)
                   .setParameter("userId", 1)
                   .uniqueResult();
// Isn't Hibernate neat? John Doe thinks so.

For less complex scenarios, JPA pairs well with EclipseLink, offering a balance between functionality and simplicity. Preferring bare SQL? jOOQ packs a punch with type-safe SQL right within Java. Your preference should lean on your project's intricacy and your fondness for SQL control or high-level abstraction.

Direct SQL: Blessing and curse

Direct SQL usage via JDBC package is perfect for fine-grained control. Lower overhead, complex SQL logic, and database-embedded logic come bundled. Useful for smaller projects or optimization-specific scenarios, direct SQL is a great way to get intimate with databases.

Hibernate: The ORM powerhouse

When it comes to full-fledged ORMs, Hibernate is a prime contender. Despite a steep learning curve, its arsenal of features caters to almost every need for mid to large-scale projects.

Ubiquity: Hibernate's extensive use makes it a trusted choice in the Java community.
Feature-rich: Its vast functionality easily handles complex object models and offers deep customization.
Integration: Makes friends with the Spring framework with ease and fully supports JPA specs.

Dancing with jOOQ

For those of you who breathe SQL, jOOQ is a joy to work with. It smoothly leverages the charm of SQL and safety of Java.

Type-safe: The compiler checks SQL queries for errors, just like Java code.
Customizable: Embrace the relational database with queries as complex as your heart desires. All purring like a kitten under Java's strict type system.
Efficient: With far less overhead than many ORM solutions, jOOQ stays lightweight and agile.

JDBC and legacy databases

Deciphering legacy databases with ORMs can be nightmarish. Good news? JDBC or MyBatis can be your shining knight, allowing detailed SQL customizations.

Stored procedures and user-defined types: Embrace all the peculiarities of your specific database.
SQL scripting: Fine-tune every detail in your SQL execution process.

Remember: abstraction is a two-sided sword. Don't let it bite in terms of performance or hidden complexities!

explain-codes / Java / What Java ORM do you prefer, and why?

Linked

Hibernate error - QuerySyntaxException: users is not mapped [from users]



Difference between FetchType LAZY and EAGER in Java Persistence API?



How to map a composite key with JPA and Hibernate?



What is this spring.jpa.open-in-view=true property in Spring Boot?



How do we count rows using older versions of Hibernate (~2009)?