Difference between Sequelize and Mongoose

In this article, we will discuss the differences between Sequelize and Mongoose. Before discussing their differences, we must know about each of them.

What is the Sequelize?

Sequelize is very active and it is a strong JavaScript library for ORM. It is a MOM (Mapping Oriented Mapping) style ORM that is involved with the managerial versions of the databases specifically SQL databases. It can also support other databases, such as PostgreSQL, MySQL, SQLite, and MSSQL. It is also commonly referred to as Object-Relation Mapper because it translates object-oriented syntax into field arrays and associated database tables.

Features of Sequelize:

Features of Sequelize:

• Sequelize is a Third-party package and more specifically it is an Object-Relational Mapping Library (ORM).
• Standardization ORMs tend to define the schema only once in the code. It makes the schema very clear and changes it as simple as a push of a button.
• It is not necessary to use SQL-queries are written in plain JavaScript.

Benefits of Sequelize ORM:

Several benefits of Sequelize are as follows:

• Easier Data Handling: Sequelize helps in easily creating, reading, updating and deleting information in the database. There is no need to write complex database queries, which have to be succinctly encoded in JavaScript.
• Database Agnostic: Various types of databases on which Sequelize can work include the likes of MySQL, PostgreSQL, SQLite, etc. It means that quite a lot of "code writing", when changing from one database to another, of the same type is not required.
• Object-Oriented Approach: Sequelize also allows us to define our models using JavaScript objects. It relates to how we structure our code in Node.js, which also makes the manipulation of databases easier.
• Data Validation: It helps in the validation of the data we enter into the database to conform to some rules.
• Migrations: Whenever our application grows, and our database schema changes, Sequelize helps control the changes without losing data.
• Security: Another security feature of Sequelize is that it protects against SQL injection attacks, which is a type of threat that may appear during the use of raw SQL statements.

What is the Moongoose?

Moongoose is an Object Data Modeling (ODM) for MongoDB and Node.js. It offers a simple, schema orientation approach to model our application data. Mongoose enables us to declare the structure of our data (schemes), which are used to make models. These models are collections in MongoDB and offer an API through which one can work with the database in a more efficient way to do CRUD operations.

Key Features of Mongoose:

Key features of Mongoose are as follows:

• Schemas and Models: Mongoose enables us to set up a schema in which we state the structure that documents in a MongoDB collection should follow. Based on the schema, we produce a model that enables us to relate to the database.
• Validation: Mongoose also supports both default and user-defined validation so that the data that is stored in the database satisfies specific conditions.
• Middleware: Mongoose also offers middleware, commonly called pre and post-hooks, for handling actions before or after specific activities, such as saving or validating a document.
• Query Building: Mongoose features a fluent interface for constructing queries that are more complex.
• Population: Mongoose has a population option that allows referencing other documents in different collections and replacing references with actual documents in the query.
• Plugins: Mongoose supports plugins, and these are functions, which we can use repeatedly to add new functionality.

Key differences between Sequelize and Mongoose:

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

Conclusion:

In conclusion, Sequelize and Mongoose are both powerful models designed for various database features. Sequelize is designed to work most efficiently with relational SQL databases, and it is great for structured data, complex relations and full support for ACID transactions, it is perfect for enterprise-level complex applications in which data integrity is crucial.

On the other hand, Mongoose is used with MongoDB, which is a NoSQL database and ideal for unstructured or semi-structured data with schema flexibility. It is especially used in contemporary web applications and start-ups due to its simplicity in development and scalability. The following factors should define its usage: Sequelize is used for SQL databases with complex relational data, and Mongoose is for applications that require flexible and scalable MongoDB.