Database selection is critical to overall product development. The database you choose determines how easily you can edit, update, retrieve, or remove data. You must choose between the two database kinds, non-relational and relational, based on your specific needs. You’ve probably heard of the most popular database, MongoDB, which is both a NoSQL and a popular document database. In this essay, we will try to discuss the causes of MongoDB’s growing popularity.

Advantages of MongoDB over RDBMS

There are numerous differences between MongoDB NoSQL databases and relational databases. MongoDB is not only simple to use, but it also has outstanding scaling possibilities. Furthermore, when compared to other databases, MongoDB’s performance capabilities are unrivaled.

That sounds incredible. Other unique and unrivaled capabilities and built-in functionalities make MongoDB the most popular choice among developers. Let’s look at some of the benefits of using MongoDB over an RDBMS.

In MongoDB, we are schema-less: To identify and organize data in relational databases, we must establish tables, schemas, and relations. MongoDB, on the other hand, is a schema-less database that does not need the development of tables or other inflexible structures. Schemas exist in MongoDB. MongoDB, as a document database, stores all records in a single collection.

In MongoDB, no joins: Connecting two or more tables in RDBMS is difficult since joins are required. MongoDB has no complex joins, and modifying the document structure in MongoDB is simple, allowing us to connect additional documents easily. 

No primary key setup:  A primary key is required while using RDBMS. There is no need to explicitly construct a primary key in MongoDB. Every document in the NoSQL database includes an id field, which is created by default.

MongoDB Uses CAP Theorem: RDBMS is concerned with the ACID qualities of Atomicity, Consistency, Isolation, and Durability. MongoDB, on the other hand, employs the CAP theorem for database distribution consistency, availability, and partition tolerance.

What makes MongoDB so in demand?

Do you know why MongoDB is becoming so popular among developers? Its outstanding capabilities are as follows:

Flexible document schemas

Every effort to put information into a Structured Query Language database involves the declaration and approval of a table structure. As a document database, MongoDB holds several documents in a single collection.

Code-native data access

Getting the data in the Object is frequently difficult. Most databases will require the use of Object Relational Mappers to accomplish this task. MongoDB eliminates the need for complex wrappers and allows you to store and access data in the most straightforward manner possible.

Change-friendly design

Many programmers have a bad tendency of crashing the site or application while changing data. There is no need to bring the site down with MongoDB because the adjustments or customizations supplied by MongoDB are outstanding. You will not have to lose valuable downtime if you need to update the schema.

Powerful querying and analytics

The absence of complex joins in MongoDB is also a significant benefit. That is, MongoDB enables smooth data access without the requirement for joins. When conducting queries, MongoDB understands how to reach into documents. The MongoDB Query Language (MQL) allows for sophisticated dynamic queries on documents, allowing for deep queries.

Easy horizontal scale-out

MongoDB enables horizontal scaling through database sharding. Because the data is arranged horizontally, it is simple to distribute it over multiple servers and retrieve it in a streamlined manner. To maintain performance, you can build clusters that use real-time replications and share large amounts of data.

Warning Bell: When sharding a database, keep in mind that once the sharding is complete, it cannot be undone.

Why Use MongoDB?

You may have realized the benefits of utilizing MongoDB now that you have identified the key differences between MongoDB and NoSQL databases. Here are a few strong reasons why you should use MongoDB instead of alternative databases.

Highly versatile – When dealing with MongoDB, there is no need to create tables because it is a Non-Structured Query Language. As a result, there is a significant degree of flexibility in data storage, management, and access. When storing large amounts of uncategorized data, versatility is a huge benefit.

Impressive Speed – One of the reasons for MongoDB’s popularity is its speed. The database speed is outstanding because there is no need to build a table or schema. The CRUD (Creating, Reading, Updating, and Deleting) speed of MongoDB is faster than that of other databases.

Another incentive to choose MongoDB is that it supports nearly all of the major programming languages, including C, C++, C#, Java, Node.js, Perl, PHP, Python, Ruby, Scala, and many others.

Easy-to-Use

Another incentive to choose MongoDB is that it supports nearly all of the major programming languages, including C, C++, C#, Java, Node.js, Perl, PHP, Python, Ruby, Scala, and many others.

Where to Use MongoDB?

MongoDB is a great option for web apps that require little to no user interaction. Unlike a traditional database, which requires you to store information across multiple tables or even make joins, MongoDB automates these operations. You can store user information in the most unified way possible by using MongoDB.

Integrating Big-Data – MongoDB will be highly useful if your business involves a pool of incoming data from several sources. When traditional databases fail, MongoDB emerges with unique capabilities to store and effectively integrate huge data.

Defining Complex Data – MongoDB supports nested structures via embedded documents (also known as Nested Documents). Nested papers are those in which a document is included within another document.

  • In a nutshell, you can use MongoDB for the following:
  • Blogs and content management.
  • E-commerce product catalog
  • User data management
  • For real-time analytics and high-speed logging, and high scalability
  • Configuration management
  • To maintain Geospatial data
  • Mobile and social networking sites

Attention: It is vital to remember that MongoDB is not appropriate for a robust transactional system or areas where the data model is known ahead of time. It is also a bad idea to use MongoDB for tightly connected systems. Structured Query Language might be a good fit!

Conclusion

MongoDB is a strong database with exceptional features and built-in operations. Today, MongoDB is used to manage data flow in IT, e-commerce, banking, logistics, and many more industries. Multinational corporations such as Bosch, Uber, Accenture, and Barclays, to mention a few, rely on MongoDB to store uncategorized data in the most sophisticated manner.