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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. SQLAlchemy vs Sequelize vs peewee

SQLAlchemy vs Sequelize vs peewee

OverviewComparisonAlternatives

Overview

peewee
peewee
Stacks50
Followers105
Votes19
GitHub Stars11.8K
Forks1.4K
SQLAlchemy
SQLAlchemy
Stacks1.6K
Followers511
Votes7
GitHub Stars3.5K
Forks878
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

SQLAlchemy vs Sequelize vs peewee: What are the differences?

Introduction

When comparing SQLAlchemy, Sequelize, and peewee, there are key differences that differentiate these object-relational mapping (ORM) libraries used for database interaction in web development projects.

1. Extensibility and Modularity: SQLAlchemy is known for its extensibility due to its large number of extension packages available, allowing customization and flexibility in data handling. Conversely, Sequelize and peewee offer less extensibility and modularity compared to SQLAlchemy, limiting the level of customization that can be achieved.

2. Language Support: SQLAlchemy primarily focuses on Python, making it ideal for Python-based applications. On the other hand, Sequelize is designed for Node.js applications, making it highly compatible with JavaScript environments. Peewee also supports Python, with a focus on simplicity and ease of use in Python projects.

3. Performance Optimization: SQLAlchemy provides features like lazy loading and preloading to optimize database interaction and minimize unnecessary queries, enhancing performance in data retrieval. While Sequelize and peewee offer performance optimizations as well, they may not provide the same level of advanced optimization techniques as SQLAlchemy.

4. Query Building Syntax: Each ORM library has its unique syntax for constructing database queries. SQLAlchemy uses SQL Expression Language and ORM to build queries with Python code, offering a high level of abstraction. Sequelize uses JavaScript-based syntax for query building, leveraging promises and async/await for asynchronous operations. Peewee, on the other hand, focuses on a simple and intuitive query syntax using Pythonic expressions for database interactions.

5. Community and Documentation: The level of community support and documentation available for each ORM library can vary significantly. SQLAlchemy benefits from a large and active community, extensive documentation, and a wealth of online resources. Sequelize also has a strong community backing, particularly within the Node.js ecosystem. Peewee, while smaller in terms of community size, has reliable documentation and good community support within the Python developer community.

6. Complexity and Learning Curve: SQLAlchemy is known for its steep learning curve due to its rich feature set and advanced functionalities, making it more suitable for experienced developers. In contrast, Sequelize and peewee offer a more straightforward and beginner-friendly approach, with easier learning curves for developers new to ORM concepts and database interactions.

In Summary, the key differences between SQLAlchemy, Sequelize, and peewee lie in their extensibility, language support, performance optimization, query building syntax, community support, and complexity levels, catering to different developer preferences and project requirements.

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Detailed Comparison

peewee
peewee
SQLAlchemy
SQLAlchemy
Sequelize
Sequelize

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.

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

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.

Statistics
GitHub Stars
11.8K
GitHub Stars
3.5K
GitHub Stars
30.2K
GitHub Forks
1.4K
GitHub Forks
878
GitHub Forks
4.3K
Stacks
50
Stacks
1.6K
Stacks
1.0K
Followers
105
Followers
511
Followers
1.4K
Votes
19
Votes
7
Votes
143
Pros & Cons
Pros
  • 7
    Easy to start
  • 4
    High Performance
  • 4
    Open Source
  • 4
    Free
Pros
  • 7
    Open Source
Cons
  • 2
    Documentation
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
Integrations
PostgreSQL
PostgreSQL
MySQL
MySQL
SQLite
SQLite
Python
Python
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js

What are some alternatives to peewee, SQLAlchemy, Sequelize?

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.

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.

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.

SQL+.NET

SQL+.NET

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.

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