As data becomes an increasingly important part of every industry, developers are looking for different ways to store and distribute the information that is vital to their operation or business.

There are many different types of database management systems, with the most popular being Relational Database Management Systems (RDBMS), Object-Oriented Database Management Systems (OODBMS), and NoSQL Database Management Systems.

More developers are using NoSQL databases as data has evolved from the more traditional structured data (numbers, short text, and dates) to unstructured data (audio, video, and large text documents).

As a result, the market for NoSQL databases is increasing rapidly due to the need for scalable and adaptable solutions for the volume of data that is being generated. The market is predicted to surpass $6.47 billion in 2024 and reach a valuation of $44.66 billion by 2031. Of the companies that are global leaders in the NoSQL database market, MongoDB, through their MongoDB Atlas database, is leading the way.

Today, many developers are taking advantage of MongoDB Atlas because it is designed to solve multiple data challenges.

What is a NoSQL Database?

A NoSQL database stores data more flexibly than traditional databases, which generally store data in relational tables. This is because NoSQL databases come in various types depending on their data model, especially if the data is unstructured.

The main data types are document, key-value, wide-column, and graph, which provide flexible schemas that can scale easily and handle high loads. This variety of storage options allows developers to use the NoSQL databases for real-time analytics, content management, IoT applications, recommendation systems, fraud detection, and product catalog management.

As we outlined in a previous post, this has meant NoSQL databases have gained prominence in the Big Data landscape as developers can distribute data across multiple machines to handle the vast volume of information generated in a distributed and parallel manner.

The Benefits of MongoDB Atlas

With more developers looking for suitable data management systems to handle vast amounts of data, NoSQL databases with MongoDB Atlas have become the world's most popular and advanced cloud database service. For developers, MongoDB Atlas has the following benefits:

Can run applications everywhere

According to the company, MongoDB Atlas is the only globally distributed, multi-cloud database and can be used in over 115 regions across the world. For developers who work for multinational companies or in a globally remote workforce, MongoDB Atlas provides recommended global cluster configurations.

This means that they can place the relevant data near local application servers to ensure low-latency reads and writes, making the data transfer much more seamless.

Easily scale operations

As MongoDB is a fully managed database service, developers can make simple configuration changes to scale up, add more storage, configure cross-region clusters, or create read-only or analytics nodes.

The database also provides data distribution and mobility across popular services such as AWS, Azure, and Google Cloud. This makes the program very agile for smaller operations or startups looking to expand rapidly in the near future.

Reduce architectural complexity

User-friendliness is a vital component of every data management system, and MongoDB was designed to accelerate and simplify how they build with data. MongoDB advertises how the system is built by developers, for developers, which means that they have much more flexibility to work with the languages and tools they prefer all under one umbrella.

The company is always upgrading its software, and this year Info World reported that Atlas Stream processing was added to its NoSQL Atlas database. As per Info World, “[it is a] new interface that can process any kind of data and has a flexible data model, bypassing the need for developers to use multiple specialized programming languages, libraries, application programming interfaces (APIs), and drivers while avoiding the complexity of using these multiple tools.”

With more industries relying on the acquisition and storage of data for their operations, MongoDB Atlas continues to be considered the best option for developers looking to store multiple types of data and scale rapidly.