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.