Overview

Mongoose

Stacks2.1K

Followers1.4K

Votes56

Sequelize

Stacks888

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

Mongoose vs Sequelize: What are the differences?

Architecture: Mongoose is an object data modeling (ODM) library for MongoDB, while Sequelize is an object-relational mapping (ORM) library for SQL databases. This means that Mongoose is specifically designed to work with MongoDB, while Sequelize can work with various SQL databases such as MySQL, PostgreSQL, and SQLite.
Schema Definition: In Mongoose, you define the data schema using a Schema object which allows you to specify the fields, types, validations, and defaults of the document. In Sequelize, you define the schema using models which are defined as classes with properties representing the fields and their respective types, validations, and defaults.
Database Queries: Mongoose provides a more expressive and intuitive interface for querying MongoDB by using chained methods and query builders. Sequelize, on the other hand, follows a more SQL-like syntax for querying SQL databases with support for raw queries and more complex join operations.
Associations: Sequelize provides a wider range of association types such as one-to-one, one-to-many, and many-to-many relationships between models. Mongoose also supports these relationships but with a more flexible "populate" method that allows you to reference and populate related documents in a more dynamic and nested way.
Hooks and Middleware: Mongoose offers a powerful middleware system that allows you to define pre and post hooks for various document actions, such as saving, updating, and removing. Sequelize also provides hooks but in a more limited way, mainly focused on specific model actions.
Transactions and Concurrency: Sequelize supports transactions out of the box, allowing you to perform multiple database operations as a single atomic unit. This can be useful for complex workflows that require multiple queries or updates to be executed consistently. Mongoose does not have built-in support for transactions, although it does provide some atomic operations for single document updates.

In summary, Mongoose is tailored for MongoDB, offering a more expressive querying interface and flexible associations, while Sequelize is a versatile ORM that supports multiple SQL databases and provides transaction support.

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Detailed Comparison

Mongoose	Sequelize
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.	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 -	GitHub Stars 30.2K
GitHub Forks -	GitHub Forks 4.3K
Stacks 2.1K	Stacks 888
Followers 1.4K	Followers 1.4K
Votes 56	Votes 143
Pros & Cons
Pros 17 Well documented 17 Several bad ideas mixed together 10 JSON 8 Actually terrible documentation 2 Recommended and used by Valve. See steamworks docs Cons 3 Model middleware/hooks are not user friendly	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
Node.js MongoDB	SQLite Microsoft SQL Server Node.js PostgreSQL MySQL MariaDB io.js

What are some alternatives to Mongoose, Sequelize?

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 is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

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

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

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

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

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

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

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.