Understanding MongoDB: A New-age Database

MongoDB, is the latest database architecture for developers and data scientists. Its usage is spread across various user groups, industry conferences and events.

MongoDB is popularly known as a NoSQL document store model. The data objects are stored as specific documents within a collection instead of storing the data in a traditional relational database like rows and columns. MongoDB uses JSON and BSON documents to store data. It is an open source software and its document data model maps objects in application code. This makes it extremely simple for developers to learn and use. MongoDB helps to mark the requirements of new applications and streamline existing work.

MongoDB stores related information by MongoDB query language. Its fields differ from one document to another. The system documents are self-described hence there is no need to declare the documents. New fields can be added without affecting the existing documents in the collection. Documents of collections gives one the ability to represent ranked relationships to store complex structures and arrays.

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MongoDB has the concepts of ACID transactions, collections, documents, fields, secondary index, embedded documents, $lookup, $graphLookup and aggregation pipeline.

The latest version of Mongodb is 4.0 which has enterprise graded security and mature management tools. Also, it provides idiomatic native language drivers, horizontal scale-out with data locality controls, and flexible / rich data models.

MongoDB’s Unique Features:

  • Most organizations choose MongoDB for its ability to build applications faster, manage important data, differentiate various data types, and also handle applications more effectively.
  • Application construction will be simplified as MongoDB documents map naturally to modern, object-oriented programming languages.
  • MongoDB has a unique feature to remove the complex relational mapping(ORM) layer which converts the objects in code to relational tables.

Benefits for Users of JSON/MongoDB:

  • Documents are natural
  • Documents are flexible
  • Documents make applications faster
  • Proprietary extensions
  • Legacy relational overhead
  • Complex data handling
  • No data governance
  • Schema rigidity

The common use cases for MongoDB are content management, cataloging, personalization, real time analytic and single view.

To learn MongoDB, one will need to migrate step-by-step from a relational database to MongoDB. Gradually one will need to become aware of the differences between relational and document data models and the implications for schema design. When this happens, indexing, queries, application integration and data migration become simpler to learn.


  • Amit Patnaik

    Amit Patnaik works as Software Test Engineer with Trigent Software. With over 4.5 years of experience, he has worked on multiple projects including CRM, immigration and Logistics.