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

Entity Framework Core vs SQL+.NET

OverviewComparisonAlternatives

Overview

Entity Framework Core
Entity Framework Core
Stacks1.1K
Followers225
Votes16
GitHub Stars9.0K
Forks2.3K
SQL+.NET
SQL+.NET
Stacks4
Followers5
Votes4

Entity Framework Core vs SQL+.NET: What are the differences?

Entity Framework Core: *Lightweight and cross-platform version of the popular Entity Framework *. 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; SQL+.NET: SQL first ORM that compliments the skills of SQL Professionals. 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.

Entity Framework Core and SQL+.NET can be primarily classified as "Object Relational Mapper (ORM)" tools.

Some of the features offered by Entity Framework Core are:

  • Lightweight
  • Extensible , Cross Platform
  • ORM

On the other hand, SQL+.NET provides the following key features:

  • 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

Entity Framework Core is an open source tool with 8.34K GitHub stars and 2.16K GitHub forks. Here's a link to Entity Framework Core's open source repository on GitHub.

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Detailed Comparison

Entity Framework Core
Entity Framework Core
SQL+.NET
SQL+.NET

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.

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.

Lightweight ;Extensible , Cross Platform; ORM; .NET Core; .NET Framework
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
9.0K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
1.1K
Stacks
4
Followers
225
Followers
5
Votes
16
Votes
4
Pros & Cons
Pros
  • 7
    Fits very well with Microsoft technologies
  • 4
    Fast
  • 2
    Linq
  • 1
    Multiple Database provider
  • 1
    OpenSource
Cons
  • 1
    Dbcontext
Pros
  • 1
    Perfect Companion to Blazor
  • 1
    Performance
  • 1
    Ease of use
  • 1
    Minimal Setup
Integrations
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
No integrations available

What are some alternatives to Entity Framework Core, SQL+.NET?

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.

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.

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