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

SQL+.NET vs SQLAlchemy

OverviewComparisonAlternatives

Overview

SQLAlchemy
SQLAlchemy
Stacks1.6K
Followers511
Votes7
GitHub Stars3.5K
Forks878
SQL+.NET
SQL+.NET
Stacks4
Followers5
Votes4

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

<Write Introduction here>
  1. Syntax: One key difference between SQL+.NET and SQLAlchemy is the syntax used to write queries. SQL+.NET uses a SQL-like language for querying databases, whereas SQLAlchemy uses Python's syntax to construct SQL queries.

  2. Abstraction Level: Another notable difference is the level of abstraction provided by each. SQL+.NET offers a low level of abstraction, requiring the developer to write SQL queries explicitly, while SQLAlchemy abstracts away the underlying SQL code, making it easier to work with databases.

  3. ORM vs. ADO.NET: SQL+.NET relies on ADO.NET, which is an object-oriented programming model used by .NET applications to interact with databases, while SQLAlchemy is an Object-Relational Mapping (ORM) tool that maps database objects to Python objects and vice versa.

  4. Cross-Platform Compatibility: SQLAlchemy offers better cross-platform compatibility compared to SQL+.NET, as it can work with different database systems like MySQL, SQLite, and PostgreSQL seamlessly with slight modifications, whereas SQL+.NET is more restricted to Microsoft SQL Server.

  5. Ease of Integration: SQL+.NET provides seamless integration with .NET applications, making it easier for developers working in the .NET ecosystem, while SQLAlchemy integrates well with Python applications, leveraging the flexibility and ease of the Python language.

  6. Performance: When it comes to performance, SQL+.NET may offer a slight edge in performance due to its direct connection to Microsoft SQL Server, optimizing performance with native drivers, whereas SQLAlchemy's ORM layer may introduce latency in query execution for complex operations.

In Summary, SQL+.NET and SQLAlchemy differ in syntax, abstraction level, ORM usage, cross-platform compatibility, ease of integration, and performance considerations.

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Detailed Comparison

SQLAlchemy
SQLAlchemy
SQL+.NET
SQL+.NET

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

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
3.5K
GitHub Stars
-
GitHub Forks
878
GitHub Forks
-
Stacks
1.6K
Stacks
4
Followers
511
Followers
5
Votes
7
Votes
4
Pros & Cons
Pros
  • 7
    Open Source
Cons
  • 2
    Documentation
Pros
  • 1
    Performance
  • 1
    Ease of use
  • 1
    Minimal Setup
  • 1
    Perfect Companion to Blazor
Integrations
Python
Python
No integrations available

What are some alternatives to SQLAlchemy, 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.

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.

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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