MongoDB is a document database used to create scalable and highly accessible web applications. It's well-liked by development teams employing agile approaches because to its flexible schema approach. MongoDB enables you to instantly begin developing your application without devoting time to database configuration because it offers drivers for all popular programming languages.

Why use MongoDB?

MongoDB is an open-source document database that employs a flexible schema for data storage and is designed on a horizontal scale-out architecture. The developer community is incredibly loyal to MongoDB, which was established in 2007.

Every record in a MongoDB database is a document expressed in BSON, a binary representation of the data, rather than a table of rows or columns like SQL databases. Applications can then access this data in JSON format.

Document databases are very adaptable, allowing for changes in the way that documents are structured and keeping documents that are only partially complete. Other documents may be incorporated into one. In a SQL database, fields are equivalent to columns, and much like columns, they can be indexed to improve search performance.

MongoDB has been developed on a scale-out architecture since its inception, a design that enables numerous small machines to collaborate to build quick systems and process massive volumes of data.

Along with all of its other benefits, MongoDB has consistently put a strong emphasis on giving developers a great user experience, This has contributed to it becoming a favourite among developers worldwide for a variety of applications.

The Popularity of MongoDB

There are several reasons why MongoDB is the most widely used non-relational database, but one sticks out among a wide range of clients and users:

Agility

I believe there was a time when it was appropriate to plan out an application and its related data schema for months (or years), to construct it, and then to reject any attempts to improve it (because the data infrastructure was so calcified that change was painful if not impossible). That era is no longer the one we live in. We must constantly develop our applications while honing the types of data we're gathering and deploying to enhance our user experiences, especially in this era of Big Data.

With a relational database, this is challenging to do. It's comparable to trying to defeat the Kansas City Royals in the World Series. or Stoke City in the English Premier League. Although unlikely, it is feasible.

According to the Wide Awake Developers blog, iteration is important for delivering on consumer expectations and changing quickly enough to dominate markets:

One essential dynamic is iteration. Iteration helps with adaptation, and adaptation outperforms competitors. The remains of 'better' competitors who lost to their winning rivals merely because they weren't able to adapt as quickly are all across history.

Such iteration is possible because of MongoDB. The document-oriented data model of MongoDB makes it extraordinarily simple to add or alter fields, among other things, more than any other NoSQL database and far more than any relational database.

The adaptable data model of MongoDB makes it possible for developers to swiftly evolve an application. Instead of tailoring an application to a schema's requirements, a developer creates her application first, then the schema.

MongoDB, in a sense, follows form after function

Yes, the simplicity of learning and using MongoDB contributes to its popularity. Yes, it is very scalable, economical, and more (auto-sharding, anyone?). But, in my opinion, what accounts for MongoDB's enormous popularity? Due to the fact that MongoDB's adaptable data model greatly enhances developer agility