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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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Learn MorePros of Mongoose
Pros of Sequelize
Pros of Mongoose
- Several bad ideas mixed together17
- Well documented17
- JSON10
- Actually terrible documentation8
- Recommended and used by Valve. See steamworks docs2
- Can be used with passportjs for oauth1
- Yeah1
Pros of Sequelize
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite21
- Open source14
- Free13
- Promise Based12
- Recommend for mongoose users4
- Typescript3
- Atrocious documentation, buggy, issues closed by bots3
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Cons of Mongoose
Cons of Sequelize
Cons of Mongoose
- Model middleware/hooks are not user friendly3
Cons of Sequelize
- Docs are awful30
- Relations can be confusing10
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- No public GitHub repository available -
What is Mongoose?
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.
What is 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.
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What companies use Mongoose?
What companies use Sequelize?
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What tools integrate with Mongoose?
What tools integrate with Sequelize?
What tools integrate with Sequelize?
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What are some alternatives to Mongoose and Sequelize?
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.