Can All Data Intensive Applications Use MongoDB for Development

29 Jul 2022

Databases have evolved rapidly, and as a consequence, it has become an overwhelming errand for organizations to choose the correct database for their application design. However, databases like SQL Server, Oracle, Postgres, and DB2 have been dominating the tech world since ages, but lately, NoSQL databases like MongoDB, Cassandra, and HBase have grown prominently. Considering todays competitive market, it has become essential to choose the right database based on the application use case which can give you an edge over the competition.

MongoDB focuses on overall data. Its services like MongoDB Atlas, a database-as-a-service on multi-cloud MongoDB stitch, are used to develop better and faster applications on serverless environments. Because of MongoDBs flexible approach development teams prefer to use agile methodologies. It offers drivers for all major programming languages and can immediately allow the users to build applications without spending much time configuring the database.

What is MongoDB?

MongoDB was founded in 2007 and since then the MongoDB community has grown exceptionally. Its an open-source NoSQL Database Management Program that allows developers to create highly accessible and adaptable web-based technologies. Further, MongoDB is built on a horizontal scale-out architecture, and it offers an incredibly flexible schema for storing data. Each information in MongoDB is a document detailed in BSON, a binary representation of the data. Applications use JSON format to fetch this information.

Document databases are preferred because of their highly flexible environment and even allow variations in the structure of documents, moreover, document databases are capable of storing partially complete documents as well.

Key Features of MongoDB

Speed

The MongoDB community chooses it over the average Relational databases because of its speed. Since it's a document-centric database it makes accessing documents easy by indexing. This facilitates query response which saves users time.

Sharding

MongoDB allows its users to store extensive information. The process of storing too much information is accomplished by distributing the data into different servers connected to the application. When one server fails to store the information, it transfers to another server through a process called auto-sharding.

Flexible Database

Since its a schema-less database, users have the choice to store different types of data in a separate document.

Horizontal Scalability

One of the prominent features of MongoDB is its horizontally scalable database. It makes the distribution of large amounts of data on different machines smooth and effective.

Transaction Feasibility

gridFS and Replication features of MongoDB provide an increase in Data Availability. This makes sure that the applications performance remains very high.

When to Use MongoDB?

The MongoDB database is used in different ways to support applications; almost every industry is influenced by this general-purpose database. The leading database has the potential to solve long-standing problems in data management and software development.

Use cases for MongoDB include:

• Integrating large amounts of diverse data
• Describing complex data structures that evolve
• Delivering data in high-performance applications
• Supporting hybrid and multi-cloud applications
• Supporting agile development and collaboration

Real-world Use Cases of MongoDB

Mobile

Many entrepreneurs prefer to have their business on smartphones because of the excessive usage of mobile phones. MongoDB gives a cost-effective way of developing a mobile phone app and scaling users. Applications that use MongoDB are flexible and help businesses to grow. Several healthcare providers, financial bodies, and retail giants prefer MongoDB mobile applications because of its flexible data model.

Internet of Things (IoT)

Today, IoT effectively connects billions of devices globally. Companies are constantly reconsidering their revenue models, and tirelessly working towards improving their productivity. Companies are using IoT to leverage operational efficiency and thus realize the business value of connecting all things. MongoDB helps in capturing most of the IoT devices. The architecture of IoT devices is event-driven and real-time which needs fast development cycles to match the changing needs, MongoDB aptly serves all these requirements efficiently.

Gaming

Data is the essence of any video game. The significance of data is huge in making gaming better, from managing player profiles to leaderboards, the role of data cannot be overlooked. In the digital era, most games are played online where choosing a correct database can turn out to be a game changer because multiplayer playing online with scale capabilities can make your game popular.

Mainframe Offloading

Although new databases are ruling the market despite their high operational cost; Mainframe is still considered the essential part of the infrastructure. This is because moving data off the Mainframe is not as easy as it seems. But when it comes MongoDB is efficient enough to offload data from mainframe systems at a reduced cost.

Real-Time Data Integration

Often data of large enterprises are distributed across various servers. Aggregation of the entire data which results in a single view is valuable. MongoDB has high flexibility and query capabilities that facilitate the aggregation process.

Customer Analytics

It is not easy to give users an exceptional experience. With regards to delivering a satisfying experience to the end-users, it is important to stay relevant in the market and compete healthily with your competitors. Companies are going overboard to meet customers needs.

Data aggregation assists companies in delivering exceptional customer experience. This is because through data aggregation companies can collect huge amounts of data of their potential and existing customers and add it to publicly available data.

This gives companies a clear picture of their customer interaction pattern with their products. In addition, it allows them to make successful strategies on how to satisfy their customers and retain them.

Real-life Examples of MongoDB Use Cases

• Indias Aadhaar
• Forbes
• MetLife
• Shutterfly
• FACEIT
• Weather Channel

Wrapping Up

MongoDB has emerged as one of the leading databases of the present world. It offers multiple benefits to your application development process. Applications that use MongoDB are future-ready because of its scaling potential and flexible schema. Since it has drivers for most programming languages which gives developers an overwhelming experience. You can find it on any of the major cloud providers.

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