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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. SQL+.NET vs Sequelize

SQL+.NET vs Sequelize

OverviewComparisonAlternatives

Overview

Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K
SQL+.NET
SQL+.NET
Stacks4
Followers5
Votes4

SQL+.NET vs Sequelize: What are the differences?

Introduction:

In this article, we will discuss the key differences between SQL+.NET and Sequelize, two commonly used tools for interacting with databases. We will explore six specific differences that set them apart from each other.

  1. Language Support: SQL+.NET is primarily used with the .NET framework and supports SQL-based languages, such as T-SQL and PL/SQL. On the other hand, Sequelize is a Node.js library that supports JavaScript-based languages.

  2. Flexibility: SQL+.NET provides more flexibility in terms of database access as it allows developers to directly write and execute raw SQL queries. It offers full control over the queries and enables complex logic implementation. Conversely, Sequelize is an ORM (Object-Relational Mapping) library that abstracts the database interactions and provides a higher-level API to perform operations. It offers convenience but might be less flexible for complex queries.

  3. Database Support: SQL+.NET supports a wide range of databases, including Microsoft SQL Server, Oracle, MySQL, and more. It is compatible with most database systems that support the standard SQL language. In contrast, Sequelize is primarily designed for use with SQL databases, such as MySQL, PostgreSQL, SQLite, and MSSQL.

  4. Development Approach: SQL+.NET follows a more traditional development approach, where database operations are written as separate SQL scripts and executed within the .NET application. Sequelize, on the other hand, incorporates an object-oriented approach by mapping database tables to model objects, making it easier to work with data in an application.

  5. Integration with Web Frameworks: Sequelize integrates well with popular web frameworks in the Node.js ecosystem, such as Express.js and NestJS. It provides features like automatic request-response cycle hooks, model validation, and association management. SQL+.NET, being primarily tied to the .NET framework, integrates seamlessly with ASP.NET and ASP.NET Core, offering similar features within the .NET ecosystem.

  6. Community and Ecosystem: Both SQL+.NET and Sequelize have active communities and extensive ecosystems. However, the SQL+.NET community, being older and more established, has a larger pool of resources, plugins, and libraries available. Sequelize, being relatively newer, is more prominent within the Node.js community.

In summary, SQL+.NET is primarily used with the .NET framework, supports SQL-based languages, provides flexibility with raw SQL queries, has wider database support, follows a traditional development approach, integrates well with ASP.NET, and has a larger community. Conversely, Sequelize is a Node.js library, supports JavaScript-based languages, offers convenience with ORM features, focuses on SQL databases, follows an object-oriented development approach, integrates well with Node.js web frameworks, and has a growing community within the Node.js ecosystem.

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Detailed Comparison

Sequelize
Sequelize
SQL+.NET
SQL+.NET

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 an enterprise grade ORM designed to compliment the skills of SQL professionals. More than a typical ORM, it's a complete system for building high-performance, robust data services.

-
SQL first process for building services means you have the full power of the database at your disposal; Generated code uses native ADO and maps results into concrete objects. It's fast, really fast; Write your SQL, add comments, generate code. Most productive workflow available to SQL developers
Statistics
GitHub Stars
30.2K
GitHub Stars
-
GitHub Forks
4.3K
GitHub Forks
-
Stacks
1.0K
Stacks
4
Followers
1.4K
Followers
5
Votes
143
Votes
4
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
  • 1
    Performance
  • 1
    Perfect Companion to Blazor
  • 1
    Minimal Setup
  • 1
    Ease of use
Integrations
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js
No integrations available

What are some alternatives to Sequelize, SQL+.NET?

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.

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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