Use Cases of MongoDB

With the rapid evolution of databases, choosing the right database has become an important aspect of application design. Although RDBMS databases like Oracle, SQL Server, Postgres and DB2 have been around, NoSQL databases like MongoDB, Cassandra and HBase have grown more prominent. With cut-throat competition in today’s market, choosing the right database based on the application use case can translate into an advantage over the competition.

The database for modern applications

MongoDB’s document data model naturally supports JSON and its expressive query language is simple for developers to learn and use. Functionality such as automatic failover, horizontal scaling, and the ability to assign data to a location are built-in.

Mobile

Customers these days want to have their business on the smartphone. Millions of users use their applications constantly. RDBMS cannot handle such large simultaneous transactions, and MongoDB provides a cost-effective way to scale the users and mobile app development. MongoDB Mobile applications have been used by several financial bodies, healthcare providers, and retail giants. MongoDB’s flexible data model and rich query functionality enable teams to build killer mobile apps and help customers to grow their business.

Enterprises like Automatic Data Processing, Inc. (ADP) and The Weather Channel have been very vocal about their awesome experience of using MongoDB for their mobile apps to grow their business.

Automatic Data Processing, Inc. (ADP)

ADP has satisfied more than 41000 of its clients managing their employee’s finances, health, and working lives.

Employees can see information of their health, paychecks, insurance, and other benefits on the mobile app. Currently, the ADP mobile app is used in 17 countries and 23 languages serving more than one million users. Low cost and minimal downtime were needs for a mobile app that MongoDB was able to deliver.

The Weather Channel

The Weather Channel was running their website, weather.com, and facing issues serving a large number of clients due to the use of the traditional RDBMS database. MongoDB helped them build their Mobile app serving more than 40 million users and providing real-time weather data to their customers.

The Weather Channel also used the MongoDB flexible schema and MapReduce features to do live analytics and predictions based on the weather data collected. The development release that was taking weeks earlier were pushed within hours and helped The weather channel have an advantage over their competitors.

Internet of Things (IoT)

Today, IoT connects billions of devices worldwide. Companies are redefining their revenue models, improving productivity, and leveraging operational efficiency by realizing the business value of connecting all things. MongoDB helps in capturing most from IoT devices. IoT devices have event-driven real-time architecture, require high-speed data ingest and fast development cycles to match changing needs, and MongoDB serves all these things efficiently.

MongoDB intelligent data platform accelerates the delivery and operation of IoT devices. MongoDB has bonded with technologies like Apache Kafka to be part of an integrated and event-driven IoT platform.

Bosch

Bosch is leading the charge for IoT betting on MongoDB for building their application. Bosch with more than 300000 employees, is known as one of the largest automotive component manufacturers.

Bosch uses several apps collecting data from IoT like braking system and power steering to improve diagnostics and preventive maintenance needs. Bosch can now also monitor how operators use highly advanced power tools to tighten more than 6 million screws of aircraft. MongoDB has played an important role in building such modern apps.

Customer analytics

As touched on above, one of MongoDB’s greatest strengths is Big Data analytics. Analytics can be on any scale, however. The internet has allowed a lot of niche interest groups to organize and flourish, with businesses catering to these new small but globe-spanning customer bases.

An example could be, say, historical reenactors on the market for period-accurate clothing and props; MongoDB can compile and analyze the exact preferences of these consumers and tailor a business model accordingly. One advantage to engaging with niche interests is that the quality of each individual datapoint gathered is often more precise, and therefore of higher quality, than with broader topics.

Product data management

Another use case for MongoDB is for powering an online store or e-commerce solution. MongoDB’s features can easily manage attributes in a product catalogue, track the interactions between the store’s inventory and customers’ shopping carts, and offer dynamically switching recommendations such as “Customers also bought” in a single shopping session.

For larger store inventories MongoDB can also model and store convenient product hierarchies within different categories.

Content Management

In the 90’s one could build the website with static text, but today with the changing times, a website must have array of text, audio, video, and social media to get the user’s attention. Building such an application on a relational database is not easy. MongoDB provides the customers with the ability to have such content on a single database as it supports a variety of structured and unstructured data.

Forbes

As a story goes viral, people visit whatever website they can to get the information. To retain the reader, publishers have to be on their toes and provide share-worthy content as quickly as possible.

Using MongoDB, Forbes was able to build its CMS within two months and its mobile application within one month. Forbes changed its entire website and moved to MongoDB so that content can be added from anywhere around the globe without going offline in a quick manner.

The publishers leveraged flexible schema of MongoDB which provided the dynamic quality content in quick time to their readers. Their move was bold, and it paid off as they got rid of traditional systems without increasing operational cost.

Gaming

Data has been an integral part of video games. From managing player profiles to leaderboards, data plays an important role in making gaming better. But now, with most of the games being played online where one may start the game with a small number of users but need to scale to millions of users in no time. Choosing the correct database can prove to be a game-changer as multiplayer playing online with scale capabilities can make your game popular.

Massive scale, globally available, and always on are some of the features that are a must for modern games. Fortunately, MongoDB has proved its worth in providing clients with these features at a competitive price. Many gaming companies are leveraging MongoDB atlas, which is a multi-cloud database-as-a-service helping scale up and down automatically.

FACEIT

Popular Gaming companies like SEGA, FACEIT, and Lucid Sight are successfully using MongoDB for their users’ better gaming experience.

FACEIT uses MongoDB as their main database under the hood. Orchestrating the services between players, teams and competitions are all managed by MongoDB.

FACEIT uses MongoDB even to manage all user-profiles and tournament data. Live streaming data from the game is stored in MongoDB and analytics to track player behavior and engagement is done on data. MongoDB’s flexible schema and rich query model helped FaceIT to maintain user profiles efficiently.

Real-Time Analytics

With RDBMS, there was a culture of having transactional and analytics databases separate. Daily data load was needed to move data from the transactional database to the analytics environment. With MongoDB, companies can analyze the data in real-time with less money.

Mainframe offloading

Even as we enter the Big Data era with new databases dominating the market, Mainframe continues to have a place in infrastructure despite high operational cost. Many have found moving data off the Mainframe to be a difficult task, but MongoDB has proven to be way ahead in offloading data from mainframe systems efficiently, thus modernizing the apps and reducing the operational cost.

Alight Solutions

Human capital services like Alight Solutions have been successful in offloading their data from Mainframe to MongoDB, thus improving application performance by 250× and reducing the overall cost of operations.

Aadhar

MongoDB has grown fast and has taken over in the field of the database. There are several other use cases like managing biometric data of 1.3 billion Indians for Aadhar. This huge data is stored by Ministry of Electronics and Information Technology, India, in MongoDB. Among several databases, MongoDB is specifically used for storing images.

Shutterfly

Internet-based popular photo-sharing vendor Shutterfly uses MongoDB for storing more than 6 billion images handling 10,000 transactions per second. The volume of data and high transaction rate forced them to move off Oracle to MongoDB.

Metlife

Metlife was among one of the first insurance company that took the initiative to migrate their advanced customer service application famously known as ‘The Wall’ from legacy database to MongoDB. The application servers more than 90 million users across different continents managing their employees’ insurance, benefits, and annuities.

MongoDB also continues to focus on database-as-a-service. MongoDB Atlas enables clients to run managed MongoDB on AWS, Azure and GCP cloud. With Atlas, MongoDB continues to acquire new business every quarter.

Apart from database solutions, MongoDB has also captured the market due to other services like MongoDB Stitch and MongoDB Realm. Seeing the R&D being put for the development of new services and focus on solving real-time issues, it might not be a bad choice to bet on MongoDB in the future.

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