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

Entity Framework Core vs Sequelize

OverviewComparisonAlternatives

Overview

Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K
Entity Framework Core
Entity Framework Core
Stacks1.1K
Followers225
Votes16
GitHub Stars9.0K
Forks2.3K

Sequelize vs Entity Framework Core: What are the differences?

Entity Framework Core and Sequelize are popular Object-Relational Mapping (ORM) libraries used in different ecosystems for database management. Entity Framework Core is primarily designed for .NET applications, while Sequelize is intended for Node.js applications. Let's explore the key differences between Entity Framework Core and Sequelize:

  1. Language and Platform: Entity Framework Core is specifically designed for .NET applications, which use C# or other .NET languages. On the other hand, Sequelize is intended for Node.js applications, which use JavaScript or TypeScript. As a result, the usage and integration of these libraries depend on the underlying technology stack of the project.

  2. Ecosystem and Integration: Entity Framework Core seamlessly integrates with other Microsoft technologies and libraries, making it an ideal choice for .NET developers who want a cohesive ecosystem. It works well with ASP.NET Core for building web applications, and it has strong integration with Visual Studio for development. Sequelize, being a Node.js library, naturally integrates with the Node.js ecosystem, including popular frameworks like Express.js. It is also well-suited for projects that follow the JavaScript ecosystem and prefer the simplicity of Node.js.

  3. Data Source Support: Entity Framework Core is known for its extensive support for various database systems, including SQL Server, MySQL, PostgreSQL, SQLite, and more. Additionally, it can connect to NoSQL databases through extensions like EF Core Cosmos DB provider. On the other hand, Sequelize mainly focuses on SQL databases, supporting databases such as MySQL, PostgreSQL, SQLite, and MSSQL. While Sequelize does support some NoSQL databases, its strength lies in handling SQL databases.

  4. Query Syntax: Entity Framework Core follows LINQ (Language Integrated Query) syntax, which allows developers to write database queries using C# or VB.NET code directly in the application codebase. This provides strong typing and compile-time checking, enhancing code readability and maintainability. Sequelize, on the other hand, uses JavaScript-based query syntax that may not offer the same level of type safety as LINQ. However, Sequelize does provide support for Promises and async/await, making it more suitable for asynchronous Node.js applications.

In summary, Entity Framework Core is a robust ORM solution tailored for .NET applications, offering strong integration with the .NET ecosystem and diverse database support. On the other hand, Sequelize is a popular choice for Node.js developers, providing a straightforward and JavaScript-centric approach to handling SQL databases.

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Detailed Comparison

Sequelize
Sequelize
Entity Framework Core
Entity Framework Core

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.

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.

-
Lightweight ;Extensible , Cross Platform; ORM; .NET Core; .NET Framework
Statistics
GitHub Stars
30.2K
GitHub Stars
9.0K
GitHub Forks
4.3K
GitHub Forks
2.3K
Stacks
1.0K
Stacks
1.1K
Followers
1.4K
Followers
225
Votes
143
Votes
16
Pros & Cons
Pros
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
Cons
  • 30
    Docs are awful
  • 10
    Relations can be confusing
Pros
  • 7
    Fits very well with Microsoft technologies
  • 4
    Fast
  • 2
    Linq
  • 1
    Multiple Database provider
  • 1
    Easy to use
Cons
  • 1
    Dbcontext
Integrations
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js
Firebird
Firebird
PostgreSQL
PostgreSQL
Oracle
Oracle
Azure Cosmos DB
Azure Cosmos DB
MariaDB
MariaDB
Microsoft Access
Microsoft Access
SQLite
SQLite
MySQL
MySQL
.NET
.NET
.NET Core
.NET Core

What are some alternatives to Sequelize, Entity Framework Core?

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.

Entity Framework

Entity Framework

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.

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.

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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