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

Sequelize vs peewee

OverviewComparisonAlternatives

Overview

peewee
peewee
Stacks50
Followers105
Votes19
GitHub Stars11.8K
Forks1.4K
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

Sequelize vs peewee: What are the differences?

<Write Introduction here>
  1. Connection to Database: One key difference between Sequelize and Peewee is that Sequelize connects to databases such as MySQL, PostgreSQL, SQLite, and MariaDB, while Peewee primarily focuses on SQLite and smaller databases.

  2. ORM Features: Sequelize offers advanced Object-Relational Mapping (ORM) features like associations, hooks, and eager loading, while Peewee provides a simpler ORM without as many advanced features, making it easier to use for basic database operations.

  3. Query Syntax: Sequelize uses a query syntax that closely resembles SQL, making it easier for developers familiar with SQL to work with it, whereas Peewee has a more Pythonic querying syntax that may be preferred by Python developers.

  4. Promises vs Callbacks: Sequelize primarily uses Promises for handling asynchronous operations, leading to cleaner and more organized code, while Peewee relies on callbacks, which can sometimes make code harder to read and maintain.

  5. Community and Ecosystem: Sequelize has a larger and more active community, with a wider range of plugins and extensions available for developers to use, compared to Peewee, which has a smaller community and less extensive ecosystem.

  6. Documentation Quality: Sequelize has more comprehensive and detailed documentation, making it easier for developers to understand and use its features effectively, while Peewee's documentation is relatively sparse and may require more trial and error for new users to grasp.

In Summary, Sequelize offers more database compatibility, advanced ORM features, and better documentation, while Peewee focuses on simplicity, Pythonic syntax, and may be more suitable for smaller projects or developers with a preference for less complexity.

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Detailed Comparison

peewee
peewee
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.

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
30.2K
GitHub Forks
1.4K
GitHub Forks
4.3K
Stacks
50
Stacks
1.0K
Followers
105
Followers
1.4K
Votes
19
Votes
143
Pros & Cons
Pros
  • 7
    Easy to start
  • 4
    High Performance
  • 4
    Open Source
  • 4
    Free
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
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, 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.

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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