Difference between Mongoose and TypeORM

In this article, we will discuss the difference between Mongoose and TypeORM. Before discussing their differences, we must know about Momgoose and TypeORM with their key features.

What is the Mongoose?

Mongoose is an ORM when it comes to the NoSQL database MongoDB. Due to MongoDB's adaptable, document-oriented storage and application data modeling, it may apply structure and validation. With a full query language, middleware, virtuals, and population (which is SQL join comparable), Mongoose speeds up interactions with MongoDB collections. Applications requiring schema-free, flexible data storage with some degree of structure should be used.

Key features of Mongoose:

Several key features of Mongoose are as follows:

• Mongoose was specifically created for the NoSQL database MongoDB.
• Schema based modeling uses schemas to provide default values and enforce validation, hence defining data structures.
• Focused on documents: It is suitable for flexible, schema-less MongoDB documents. It is also an excellent choice for unstructured data.
• It provides a MongoDB-syntax-based query language that is capable of managing intricate and population-based queries.
• Middleware: It offers virtuals for computed properties and middleware for pre/post hooks.

What is the TypeORM?

TypeORM is an open-source ORM for Node.js framework with support for several SQL components, such as POsTgreSQl, SQLite, and MySQL. The design is followed by the use of classes and decorators, which define what is referred to in this case as an entity and which is analogous to a table. However, Applications requiring data coherence and complex data linkages are better suited for TypeORM. Using a single Language Agnostic API for numerous relational databases, ORMs simplify complex definitions, sophisticated SQL queries, relations, and migrations in database applications. It will be helpful for applications whose requirements are multidimensional, structural, and data integrity-focused.

Key features of TypeORM:

Several key features of TypeORM are as follows:

• TypeORM supports several SQL databases, such as MySQL, PostgreSQL, and SQLite.
• Entity-Based Modeling: This approach uses classes and decorators to create entities, or SQL tables to identify them.
• Structured data is best suited for relational databases with clearly defined relationships and schemas.
• Migrations: This makes it easier to manage changes made to databases over time by using schema migratons.
• Better SQL Queries: It provides programmatic creation of SQL queries with a query builder and support for raw SQL.

Key differences between Mongoose and TypeORM:

There are several key differences between Mongoose and TypeORM. Some main differences are as follows:

Conclusion:

In conclusion, every technology is effective in its own element. However, greater advantages are realized when Mongoose and TypeORM are used for many specific desired purposes/scenarios in the designed Node.Js framework. In this case, Mongoose is more suitable in applications that are used to work on a more dynamic environment in terms of the database because it is designed specifically for MongoDB, which is a non-relational type of database but has a schema design mode for document data. On the other hand, TypeORM consists of quite a plain, built-up, and easy-to-manage collection of databases, with many supporting more advanced data interactions and data structure migrations. In the selection of Mongoose and TypeORM technologies, the choice of the technologies in query is not so much of a determining factor as the nature of the databases and the specific orientation of the application, with SQL being very good on normal structured data and MongoDB being efficient on flexibility and complexity free.