When to use MongoDB Database?
Tags: database, mongodb, webdev, javascript
Published: 2021-08-16 07:36:13

**Today**, web applications support millions of users and include features that support content management, personalization, real-time big data and much more. NoSQL databases such as MongoDB supports unstructured data, horizontal scaling (if the data grows, you can add more machines).

**What is MongoDB?**

**MongoDB** is Object-Oriented, simple, dynamic and scalable NoSQL database. It is based on the NoSQL document store model, in which data objects are stored as separate documents inside a collection instead of storing the data into columns and rows of a traditional relational database.
![mongodb](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/osfx11nee5vjsl3tcwa8.png)
The motivation of **MongoDB** is to implement a data store that provides high performance, high availability, and automatic scaling. MongoDB is an extremely simple and easy  Install/Implement. The core of MongoDB storage is documents and it’s stored as  JSON or BSON objects.  General distributions of MongoDB support Windows, Linux, Mac OS X, and Solaris.

As one of the leading **NoSQL databases**, MongoDB offers a number of advantages. With fast scalability and flexibility in the handling of data, it is helping businesses streamline their data services, manage applications better and also improve on user experience.

**Features of MongoDB**:-

•**The application code** within the database is mapped to the objects by using a document model, which makes dealing with data very easy.

•**Geographic distribution**, high availability and horizontal scaling are built into the MongoDB database for its core is primarily a distributed database.

•**Analysis of data** is powerful yet easy as aggregation in real-time, random queries and indexing are built into MongoDB. This can help in determining the performance within a section or for the whole business much more effectively and quickly.

•**In MongoDB**, the fields can be made to vary within documents to enable data structure changes over a period of time. This is possible as it uses documents similar to JSON (known as BSON or Binary JSON,) which has a lot of flexibility in storing data.

**When should you use MongoDB over MySQL and vice versa?**

There are two main factors that come into play when choosing between **relational** and **noSQL** databases: how static your data is and how plug-and-play the tool will be for your team.

In general, a project with frequently updated data will benefit more from a **relational database** than a nonrelational one. An example of such a project would be any kind of transactional system, like an ecommerce platform, a workflow application, or a payment processor. 

On the other hand, a project that rarely updates information, such as an analytics application where data doesn't change after it has been collected, will benefit more from a **nonrelational database.** 

**What to Choose?**

If your project's success depends on users getting answers to their queries in real-time, you should opt for a **nonrelational database**. 

If, on the other hand, your biggest concern is having information you can trust no matter what, a **relational database** is your best option. 

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