ARTH — Task 32
MongoDB is an open source NoSQL database management program. NoSQL is used as an alternative to traditional relational databases. NoSQL databases are quite useful for working with large sets of distributed data. MongoDB is a tool that can manage document-oriented information, store or retrieve information
What is a NoSQL DataBase Management ?
NoSQL databases (aka “not only SQL”) are non-tabular databases and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph. They provide flexible schemas and scale easily with large amounts of data and high user loads.
Real-life Examples Of MongoDB Use Cases
1) India’s Aadhaar
Aadhaar is a fantastic example of a real-world MongoDB use case. Aadhaar is India’s Unique Identification Project and the world’s most extensive Biometrics Database System. The program launched in 2009 has collected demographic and biometric information from over 1.2 billion people. Aadhaar relied on MongoDB, among other database systems like HBase, MySQL, and Hadoop, to store this massive amount of data. However, MongoDB was one of the database systems first purchased to power the search strategy.
2) Forbes
Another real-world MongoDB use case is Forbes. When a story becomes viral, people resort to every available website to get details. Therefore, it is essential for publishers to be alert and give shareable information as soon as possible to keep their readers informed.
Their editors also took advantage of MongoDB’s flexible structure to deliver dynamic quality material promptly to their viewers. This brave action eventually paid off. With this, they could eliminate poor existing practices while lowering overhead expenses.
3) Weather Channel
While running its website, weather.com, the Weather Channel had problems servicing a massive clientele because it used a standard RDBMS system. However, MongoDB enabled them to develop their Smartphone application that serves over 40 million active users and provides Real-time Meteorological Data to its clients.
They also employed MongoDB’s Scalable Solution and MapReduce Functionalities to perform Real-time Analytics and forecasts based on weather data obtained. The prototype version that had previously taken weeks to develop was delivered in just a few hours. This gave The Weather Channel an edge over the competition.
