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

Ebean vs Entity Framework

OverviewComparisonAlternatives

Overview

Entity Framework
Entity Framework
Stacks2.1K
Followers240
Votes19
Ebean
Ebean
Stacks10
Followers21
Votes0
GitHub Stars1.5K
Forks269

Ebean vs Entity Framework: What are the differences?

Introduction: Ebean and Entity Framework are two popular object-relational mapping (ORM) tools used in software development. Despite both serving the same purpose, there are key differences between the two that developers should consider when choosing between them.

  1. Language Compatibility: Ebean is primarily designed for Java applications, while Entity Framework is tailored for .NET applications. Developers must consider the language compatibility of each ORM tool when selecting the appropriate one for their project.

  2. Data Source Support: Entity Framework supports a wider range of databases compared to Ebean, which has limited support for databases other than MySQL and PostgreSQL. Developers should evaluate the compatibility of their chosen database with the ORM tool they intend to use.

  3. Querying Capabilities: Entity Framework offers a more advanced query language (LINQ) that provides expressive querying capabilities, while Ebean primarily relies on JPQL. Developers should choose an ORM tool based on their familiarity and comfort with the query language that best fits their project requirements.

  4. Lazy Loading Behavior: Ebean follows a lazy loading strategy by default, where related entities are loaded only when accessed, while Entity Framework supports both lazy loading and eager loading. Developers should consider the performance implications of each ORM tool's default loading behavior when designing their applications.

  5. Community and Support: Entity Framework has a larger and more active community compared to Ebean, providing developers with easier access to resources, documentation, and support. When selecting an ORM tool, developers should consider the importance of community involvement in their decision-making process.

In Summary, the key differences between Ebean and Entity Framework lie in their language compatibility, data source support, querying capabilities, lazy loading behavior, and community support, all of which should be carefully considered when selecting the appropriate ORM tool for a project.

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Detailed Comparison

Entity Framework
Entity Framework
Ebean
Ebean

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.

It is an object-relational mapping product written in Java. It is designed to be simpler to use and understand than JPA or JDO products.

ORM, Work with relational data using domain-specific objects;Eliminates the need for most of the data-access code
Change log; Read auditing; Encryption; DB Migration; JSON in DB; JSON Marshalling; Event listening
Statistics
GitHub Stars
-
GitHub Stars
1.5K
GitHub Forks
-
GitHub Forks
269
Stacks
2.1K
Stacks
10
Followers
240
Followers
21
Votes
19
Votes
0
Pros & Cons
Pros
  • 6
    LINQ
  • 3
    Object Oriented
  • 3
    Strongly Object-Oriented
  • 2
    Multiple approach (Model/Database/Code) first
  • 2
    Code first approach
No community feedback yet
Integrations
Firebird
Firebird
.NET
.NET
Oracle
Oracle
PostgreSQL
PostgreSQL
SQLite
SQLite
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
IBM DB2
IBM DB2
Docker
Docker
MySQL
MySQL
Oracle
Oracle
PostgreSQL
PostgreSQL
MariaDB
MariaDB
Clickhouse
Clickhouse
SQLite
SQLite
CockroachDB
CockroachDB
H2 Database
H2 Database

What are some alternatives to Entity Framework, Ebean?

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.

Hibernate

Hibernate

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

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.

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