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The Future Scope of MongoDB: Advantages, Improvements & Challenges [2023]

In 2007, with the release of the document database MongoDB, people realized the benefits of using NoSQL databases over an SQL (Structured Query Language) database. Those who have the experience in working with various NoSQL databases will undoubtedly agree that the MongoDB document model has an absolute simplicity of workflow that no other NoSQL database provides.

It becomes essential to understand what is the future scope of MongoDB.

Today, not only does MongoDB have some very big clients like Google, eBay, Paypal, Adobe, and many more, it is also the first choice of startups looking for a fast solution that is easy to scale in the future.

Some advantages of using MongoDB are

  • No complex joins in the Database.
  • Ability to make deep and complex queries
  • Easy to scale
  • Ability to store unstructured data in an organized fashion.

With MongoDB.Inc bringing out new updates as frequently as possible, it is obvious to get back to the previous question and examine the future scope of MongoDB.

Challenges in the market

Since the launch of MongoDB, the competition among different NoSQL vendors has increased with time. This became more fierce as more and more companies started becoming serverless. Everyone needed a compatible database with their cloud services.

MongoDB launched various cloud services like Atlas and Charts to fill this need, but there were some very strong competitors in the market. 

The most recent and strongest one being DocumentDB, which was launched by Amazon Web Services in 2019. Although its main website mentions “with MongoDB compatibility”, the truth is far from it. MongoDB claims that DocumentDB fails 33% of the MongoDB API correctness tests. It further claims that previously built applications using MongoDB will have to be re-written to be compatible with DocumentDB.

In the realm of Serverless architectures, MongoDB has always had strong competitors like Amazon’s DynamoDB, Facebooks’s Cassandra, and Couchbase. This market is growing with advances in IoT and embedded systems.

Read more: Top 9 IoT Real World Applications

Announcements of Improvements

In the past few years, MongoDB has hit several milestones, for the future scope of MongoDB. This includes launching services like Stitch and extending the features of its current services like Atlas as well as the recent acquisition of Realm followed by the launch of the first public beta of MongoDB Realm. The annual Mongo World Event has always had the theme of presenting services that establish it as the most popular database for modern apps. 

Let’s look at some announcements at recent Mongo World events that will help us get a better idea of the future scope of MongoDB

Source

Stitch meets GraphQL

With the growing popularity among developers to interact with the Database using GraphQL queries, it was no surprise when MongoDB announced it would directly serve GraphQL queries from MongoDB. This feature has been integrated with Stitch and Realm.

Updates in Cloud navigation

MongoDB had been doing various evolutions in cloud services like Charts, Stitch, and Atlas. These improvements are accessible to everyone, making them extremely user-friendly.

The recent updates to enhance the UI experience from the dashboard was focused on the improvement in the workflow when MongoDB is used as an enterprise-level application. 

Read: DBA Salary in India: For Freshers & Experienced

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Atlas Search and Atlas Data Lake

The launch of MongoDB cloud had a lot to behold. From the latest iterations in the document data model in MongoDB 4.4 to the availability of Realm. But, the one that was much awaited was the availability of Atlas Data Lake and Atlas Search. Last year, Atlas Data Lake was pitched as an alternative to Hadoop.

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MongoDB Realm

MongoDB acquired the mobile database company in April of 2020 and integrated it with MongoDB Stitch to launch the first beta, MongoDB Realm. This has led to many improvements in Stitch itself while also providing a great platform for mobile databases that are focused on strengthening the future scope of MongoDB

Also Read: MongoDB Project Ideas

Read our popular Data Science Articles

Conclusion

Understanding the current developments and the market dominance of this easy to use database makes us realize that the future scope of MongoDB does show a lot of promise. 

This also shows that the coming decade is a great time to add MongoDB to your resume. Building some basic projects with MongoDB and getting familiar with the essential interview questions might get you started, but they are not enough.

Today just knowing how to manage databases is not enough. If you can get insights into the data, you are maintaining and helping the business better understand it using your data analysis skills, who would not want to hire you. 

At upGrad, we have put together detailed programs so that you can get the best learning resources without wasting much time on the internet. Our Data Science program not only provides you with the skills to develop such insights but also gives you a certification to validate these skills. The future scope of MongoDB is progressing with the changing climate and their steady and disciplined management and work skills will usher in a new era.

What are the advantages of MongoDB?

MongoDB is one of the most popular NoSQL database management systems (DBMS) and there are certain points or advantages to support its popularity. These advantages are as follows: MongoDB allows flexible document manipulation. Any kind of document can be manipulated or modelled virtually with ease. It provides a change-friendly design. You can bring down the whole structure of your site and start from scratch again easily. Querying and Analytics are very user-friendly in MongoDB. The MongoDB Query Language (MQL) is a powerful query language for MongoDB that allows you to execute complex processes with a few lines of code. Easy horizontal scale-out, Code-native data access, and Flexible Document Schemas are other advantages of MongoDB.

What are the practical use cases of MongoDB?

MongoDB use case documents contain information about the various aspects of application development in MongoDb like the operations used, designs, and patterns. Below are the three case studies that evaluate the use cases of MongoDB. Content Management systems can be considered as a great use case of MongoDB. It provides a feature called “Storing comments” that stores and models the comments of various users on blog spots and media posts. Product Data Management is basically for those companies or projects that deal with consumer research like an e-commerce website. Since MongoDB provides a flexible schema, it can easily store and manipulate any kind of document. It can also help in maintaining user’s shopping preferences using the shopping cart. Real-time analytics and operational intelligence are the go-to features of MongoDB. The user can learn more about the different approaches of storing and modelling the machine-generated data with MongoDB using the “Storing Log Data” Document.

What are the ideal scenarios to use MongoDB?

Although MongoDB has various advantages and use cases, it is highly recommended to be used whenever you are creating internet and business applications that need a quick evolution and scalability. The agile methodologies of MongoDB provide scalability to all kinds of developers around the globe. If you need to manage and manipulate text, scale high read and right traffic, or geospatial dimensions or you need to support rapid development then MongoDB is a great choice.

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