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

Entity Framework vs GORM

OverviewComparisonAlternatives

Overview

Entity Framework
Entity Framework
Stacks2.1K
Followers240
Votes19
GORM
GORM
Stacks193
Followers128
Votes0
GitHub Stars657
Forks194

Entity Framework vs GORM: What are the differences?

Entity Framework and GORM are both object-relational mapping (ORM) frameworks that allow developers to map objects to database tables and perform CRUD operations on the data. However, there are several key differences between Entity Framework and GORM:

  1. Language Support: Entity Framework is primarily used with the Microsoft .NET framework and supports C# as its primary language. On the other hand, GORM is written in the Go programming language and is specifically designed for Go applications.

  2. Platform Compatibility: Entity Framework is platform-dependent and primarily works with Microsoft SQL Server databases, although it also supports other database systems like MySQL and PostgreSQL. GORM, on the other hand, is platform-independent and can be used with a wide range of databases, including MySQL, PostgreSQL, Oracle, and SQL Server.

  3. Query Language: Entity Framework allows developers to use LINQ (Language Integrated Query) to write queries in a strongly-typed manner, which is similar to writing SQL queries. GORM, however, uses the Go programming language's native syntax for building queries, which is less expressive but offers better compatibility with Go applications.

  4. Performance: Entity Framework is known for its complex query translation process, which can sometimes result in slower query execution compared to other ORM frameworks. GORM, on the other hand, focuses on simplicity and aims to provide faster query execution in Go applications.

  5. Community and Ecosystem: Entity Framework has a larger and more established community compared to GORM. This means that there are more resources, tutorials, and community support available for Entity Framework. GORM, being relatively newer, has a smaller community but is steadily growing in popularity.

  6. Maturity and Stability: Entity Framework has been around for a longer time and is considered more mature and stable compared to GORM. Being a relatively newer framework, GORM may still have some limitations and bugs that are being actively worked on by the developers.

In Summary, Entity Framework is primarily used with Microsoft .NET applications, supports multiple databases but requires a more complex query translation process, while GORM is written in Go, works with multiple databases, offers faster query execution, but has a smaller community and may be less mature and stable compared to Entity Framework.

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Detailed Comparison

Entity Framework
Entity Framework
GORM
GORM

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 a fantastic ORM library for Golang, aims to be developer friendly. It is an ORM library for dealing with relational databases. This library is developed on top of database/sql package.

ORM, Work with relational data using domain-specific objects;Eliminates the need for most of the data-access code
Full-Featured ORM; Associations (has one, has many, belongs to, many to many, polymorphism, single-table inheritance); Hooks (before/after create/save/update/delete/find); Eager loading with Preload, Joins; Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point; Context, Prepared Statment Mode, DryRun Mode; Batch Insert, FindInBatches, Find/Create with Map, CRUD with SQL Expr and Context Valuer; SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, Named Argument, SubQuery; Composite Primary Key, Indexes, Constraints; Auto Migrations; Logger; Extendable, flexible plugin API
Statistics
GitHub Stars
-
GitHub Stars
657
GitHub Forks
-
GitHub Forks
194
Stacks
2.1K
Stacks
193
Followers
240
Followers
128
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
MongoDB
MongoDB
Jenkins
Jenkins
Spring Boot
Spring Boot
Groovy
Groovy

What are some alternatives to Entity Framework, GORM?

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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