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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Entity Framework vs Hibernate

Entity Framework vs Hibernate

OverviewComparisonAlternatives

Overview

Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0
Entity Framework
Entity Framework
Stacks2.1K
Followers240
Votes19

Entity Framework vs Hibernate: What are the differences?

Entity Framework and Hibernate are both object-relational mapping (ORM) frameworks that provide a bridge between an application’s object-oriented model and a database’s relational model. Let's explore the key differences between them.

  1. Language Platform: The most fundamental difference between Entity Framework and Hibernate is the language platform they are built for. Entity Framework is designed for the .NET platform and is tightly integrated with Microsoft technologies such as ASP.NET, C#, and Visual Studio. On the other hand, Hibernate is developed for the Java platform and is a part of the Java Persistence API (JPA) standard. This difference in language platform makes the frameworks most suitable for their respective ecosystems.

  2. Development Approach: While Entity Framework follows a code-first approach, Hibernate follows a configuration-first approach. In Entity Framework, developers define their data model as C# classes and the framework automatically generates the database schema based on this model. Hibernate, on the other hand, requires developers to explicitly define the mapping between Java classes and database tables through XML or annotations. This difference in development approach provides flexibility to choose between convention-based or explicit mapping.

  3. Performance: Entity Framework is known to have a higher performance overhead compared to Hibernate. This can be attributed to several factors such as the difference in language platform, as well as differences in internal optimizations and query generation strategies. Hibernate, being a mature and widely-used framework, has had more time to optimize its performance and provide better database query execution efficiency.

  4. Configuration Complexity: Hibernate, being a part of JPA, has a more complex configuration setup compared to Entity Framework. JPA requires developers to define persistence.xml files, configure entity managers, and manage transactional boundaries. In contrast, Entity Framework simplifies configuration by providing a single configuration file (app.config/web.config) or allowing configuration through code. This difference in configuration complexity makes Hibernate more suitable for larger enterprise applications with complex requirements.

  5. Querying Language: Entity Framework uses LINQ (Language Integrated Query) as its primary querying language, which is a powerful language extension to .NET languages. LINQ provides a more intuitive and type-safe way to query data compared to traditional SQL. On the other hand, Hibernate uses Hibernate Query Language (HQL) or JPQL (Java Persistence Query Language) as its querying language. While HQL and JPQL have similar syntax to SQL, LINQ offers more flexibility and expressiveness in querying data.

  6. Tooling and Ecosystem: Entity Framework benefits from being integrated with the Microsoft development ecosystem, which provides a rich set of tools, utilities, and libraries that enhance productivity. Visual Studio, for example, offers a powerful ORM designer for Entity Framework and provides seamless integration with other Microsoft technologies. Hibernate, although it has a vibrant open-source community, may not have the same level of tooling and ecosystem integration, especially in terms of development tools and IDEs.

In summary, Entity Framework is a popular ORM framework for .NET applications, offering seamless integration with Microsoft technologies and a rich set of features for data access and manipulation. Hibernate, on the other hand, is a widely-used ORM framework for Java applications, known for its flexibility, performance optimizations, and extensive support for various database platforms.

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Detailed Comparison

Hibernate
Hibernate
Entity Framework
Entity Framework

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

-
ORM, Work with relational data using domain-specific objects;Eliminates the need for most of the data-access code
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
1.8K
Stacks
2.1K
Followers
1.2K
Followers
240
Votes
34
Votes
19
Pros & Cons
Pros
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
Cons
  • 3
    Can't control proxy associations when entity graph used
Pros
  • 6
    LINQ
  • 3
    Object Oriented
  • 3
    Strongly Object-Oriented
  • 2
    Multiple approach (Model/Database/Code) first
  • 2
    Code first approach
Integrations
Java
Java
Firebird
Firebird
.NET
.NET
Oracle
Oracle
PostgreSQL
PostgreSQL
SQLite
SQLite
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
IBM DB2
IBM DB2

What are some alternatives to Hibernate, Entity Framework?

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

SQLAlchemy

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Dapper

Dapper

It is an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database.

NHibernate

NHibernate

It is a mature, open source object-relational mapper for the .NET framework. It's actively developed, fully featured and used in thousands of successful projects.

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