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Mongoose vs TypeORM: What are the differences?

Both Mongoose and TypeORM are popular Node.js Object-Relational Mapping (ORM) libraries used for working with databases. Let's explore the key differences between the two.

  1. MongoDB vs. SQL Support: Mongoose is specifically designed for working with MongoDB, a NoSQL database, while TypeORM supports multiple SQL databases such as MySQL, PostgreSQL, SQLite, etc. Therefore, Mongoose is more suitable for projects using MongoDB, whereas TypeORM provides flexibility for projects using different SQL databases.

  2. Schema Definition and Data Models: Mongoose requires the explicit creation of schemas for defining the structure, properties, and validation rules of the data models. On the other hand, TypeORM utilizes decorators to define entities, properties, relationships, and validation rules. The schema definition approach of Mongoose is more explicit, whereas TypeORM provides a more declarative and decorator-based approach.

  3. Query Language and API: Mongoose provides a flexible and feature-rich query API that allows developers to perform complex queries on MongoDB, with support for filtering, sorting, paging, and aggregation. TypeORM, being an SQL-based ORM, leverages the SQL query language to perform database operations. The query language and API usage differ significantly between the two libraries depending on the underlying database technology.

  4. Data Validation and Type Checking: Mongoose offers built-in schema-based validation, allowing developers to define validation rules for documents in MongoDB. TypeORM, on the other hand, relies on the type system of TypeScript for type checking and validation during the development process. Mongoose provides more extensive validation capabilities, while TypeORM relies on the type system to ensure type safety and validity.

  5. Relationships and Associations: Mongoose has built-in support for defining relationships and associations between data models, including one-to-one, one-to-many, and many-to-many relationships. TypeORM also supports these relationships but requires manual configuration through decorators. Mongoose provides a more intuitive and straightforward way to define and work with relationships.

  6. Populating Related Data: Mongoose supports the concept of population, allowing developers to automatically retrieve and populate related data when querying documents. Populated data can be fetched from other collections based on defined relationships. TypeORM also provides similar functionality using the "eager loading" mechanism, but the implementation differs due to the underlying database technology and ORM architecture.

In summary, Mongoose and TypeORM are both popular Object-Relational Mapping (ORM) libraries, each catering to different JavaScript environments. Mongoose is a MongoDB ORM for Node.js, known for its flexibility and ease of use with MongoDB, while TypeORM is a TypeScript-based ORM that supports various databases, offering a robust and type-safe approach particularly suited for TypeScript applications using Node.js or the browser.

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Pros of Mongoose
Pros of TypeORM
  • 17
    Several bad ideas mixed together
  • 17
    Well documented
  • 10
    JSON
  • 8
    Actually terrible documentation
  • 2
    Recommended and used by Valve. See steamworks docs
  • 1
    Can be used with passportjs for oauth
  • 1
    Yeah
  • 29
    Typescript
  • 11
    Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Ser
  • 9
    Easy setup
  • 8
    Cons of TypeORM
  • 7
    Promise Based
  • 7
    Works in NodeJS, Browser, Ionic, Cordova and Electron p
  • 6
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 1
    Support MongoDB

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Cons of Mongoose
Cons of TypeORM
  • 3
    Model middleware/hooks are not user friendly
  • 5
    Completely abandoned by its creator
  • 3
    Too complex for what it does
  • 2
    Doesn't really support native javascript
  • 1
    Not proper/real type safety
  • 1
    Cannot use query on any relation

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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 TypeORM?

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

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    What are some alternatives to Mongoose and TypeORM?
    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.
    Mongoid
    The philosophy of Mongoid is to provide a familiar API to Ruby developers who have been using Active Record or Data Mapper, while leveraging the power of MongoDB's schemaless and performant document-based design, dynamic queries, and atomic modifier operations.
    See all alternatives