Mongo DB is a database used as application data platform. It is an open-source document-oriented database program which works on collection of documents.
MongoDB Inc. first released it in 2009. It was published under Server-side public license (SSPL) and works on several operating systems like Windows, Vista etc.

MongoDB is one of the popular NoSQL databases i.e., non-relational database system which provides a different outlook over the mechanism of storing and retrieving data.

MongoDB is a used widely by many developers for managing their data structure.

Here at Sarjen, the team of developers get an excellent user experience along with some added properties on various applications. This helps our developers to produce scalable applications with new facilities.

Service benefits offerings

Mongo DB is a useful tool for the professional developers while performing their project work. It offers a wide range of service benefit offerings to outsource best possible results.

  • Scale-out Architecture
  • Stores both structured as well as unstructured data
  • Highly flexible and capable
  • Strong analytics and querying
  • Document-oriented database
  • Fully managed on-cloud
  • Multi-cloud application program
  • Enterprise software & support
  • Efficient Technical Support
  • Ensures horizontal scaling via document sharding

Why & Where to use MongoDB?

MongoDB is widely used database technology by developers in various projects because of its advantages and services offered to scale out the stored data structures from the databases. Many developers prefer to use MongoDB over other databases because –

  • Document Model
  • Deployment facilities
  • Completely scalable in nature
  • Big Data approach
  • Content management & Delivery
  • Ensures user data management
  • Highly available database management system
  • No need for mapping of the applications
  • Provides clear structure of the objects

MongoDB: Data Modeling

As earlier discussed, MongoDB is used for data handling purposes. Hence, it follows two data models namely, Embedded Data Model and Normalized Data Model.

Embedded Data Model- In this model, one can record all the data in a single document. Also known as ‘De-normalized Data Model’.

Normalized Data Model- One can place data in sub documents of the original file and can have access to it using references.