Reason to Use MONGODB

MongoDB’s design philosophy centers on its document-oriented architecture. Unlike the traditional relational database that organizes data onto a table with a defined schema. It is used instead to store data in unstructured, document-like forms. Let’s break down the key components of this main concept.

• Documents: Likewise, a document is a unit of data in MongoDB like a row in a relational database. On the other hand, a document does not necessarily have to be structured alike throughout a set of documents. The document constitutes a JSON-like object that contains key-value pairs, which are inherent features that render flexibility.
• Collections: Collections act like analogs of relational database tables, and they organize documents. Nevertheless, collections don’t support schemas, hence all the documents in one particular collection may feature dissimilar fields and schemes. The ability to use it flexibly is especially important, as in cases when the information changes with time.
• No Fixed Schema: The fact that Mongodb does not have a fixed schema makes it one distinct feature of Mongodb. Unlike the conventional database that predetermines data structure using a specific schema, MongoDB is capable of handling dynamic and flexible structures for data.
• Rich Query Language: The query language in MongoDB offers robust facilities for searching and changing data. The query language is developed to be readable and easily understandable; it is flexible and allows users to conduct different actions such as filtering, ordering, or grouping. The queries used are in a format that resembles JavaScript, thus allowing easy comprehension by programmers used to these languages.
• Indexing and Aggregation Framework: As such, MongoDB supports indexing so as to improve query performance which makes it easy to retrieve any field-based data. Moreover, the aggregation structure allows programmers to carry out advanced transformations and calculations on the data inside the database, thereby avoiding many post-processing procedures.

MongoDB is one of the most widely used non-relational or NoSQL databases that provides a cutting-edge solution currently required by organizations for their database management. This is a database system developed by MongoDB Inc., which is becoming popular, thanks to its unique document-oriented architecture that is more flexible than conventional relational databases. In contrast, Relational databases store data in the format of documents similar to JSON-like structures.

Choosing the appropriate database management system in the contemporary application development, domain involves paramount significance. It is perhaps for this reason that one of the several alternatives is becoming particularly popular—MongoDB, for its flexibility and scale-up capacity.

The main goal of this article is to provide an understanding of how to choose MongoDB among other databases, its key aspects, preconditions, and illustrations for coders and architects’ support.