If you've ever worked with a real-time application, you've probably come across the task of data storage. Data storage is done using well-defined rows and tables. However, there has recently been a shift toward a more flexible approach.

A language NoSQL was created to address the usual challenges of upgrades in table-based databases like SQL (Structured Query Language). NoSQL (Not Only SQL) is a language that does not follow a schema. But it is a huge object with several smaller nested objects that operate as individual rows of data. Although several database systems support this approach, MongoDB has long been one of the front-runners in this area. Let's have a look at what MongoDB is, what its key features are, what it's used for, and what resources are available to help you understand.

What is MongoDB
MongoDB is a NoSQL-based database system that runs on any platform. It's used to store various kinds of data, including strings, numbers, and characters. The fundamental difference between MongoDB and a traditional, organized database is that MongoDB does not adhere to any particular standards for data organization.

MongoDB is a NoSQL database, which means that, unlike SQL, it doesn't use tables and columns to categorize and store data. Data in NoSQL databases are organized as nested Javahavet Object Notation (JSON) Objects. JSON objects can include any type of member variable.

Each object in MongoDB is referred to as a document. A collection is made up of several such documents. The entire database is made up of a list of such collections.

Features of MongoDB
Let’s have a look at some of the key, features of MongoDB:

Flexibility with Schema
The schema-less nature of MongoDB is a key characteristic of this database system. The structure in which data is stored in a database is referred to as a schema. MongoDB does not require a rigid schema to be followed, removing the burden of establishing and sticking to a schema from the start of an application's production. This gives you the flexibility to include different sorts of papers in the same collection and make modifications as needed.

Strong Indexing
To make reading data faster, MongoDB indexes all documents with a primary and secondary index. Indices are unique tables that make it easier to find certain data items in a database. Searching for a record without indexing requires manually scanning through all of the entries and checking for matches.

High Scalability
MongoDB can scale horizontally in addition to vertically to accommodate additional data. Horizontal scaling is the process of distributing data over different servers in order to improve the number of concurrent database requests that can be handled. The process of horizontal scaling mechanism in MongoDB is called Sharding.

Improved Redundancy
MongoDB has a high uptime, which indicates it is extremely reliable in terms of availability for end-users. However, all database systems are vulnerable suffer some kind of data loss due to outdated hardware and technical concerns. One of the best features of MongoDB is that it makes numerous copies of the data it stores. Any application created using MongoDB gains a layer of robustness with the help of data redundancy.

High Performance
All of the mentioned areas contribute to one ultimate quality which is performance. When compared to other NoSQL databases, MongoDB offers unrivaled performance due to its flexible data format and highly available and scalable design.

Use of MongoDB
MongoDB is a popular database solution for creating scalable and adaptable databases. Let's have a look at some of MongoDB's applications:

Product Data Management
Almost all online products deal with personal information. MongoDB is ideal for this circumstance because it has a schema that can adapt to any structural changes in the product's data over time. Aside from that, MongoDB databases are easily scalable, so you may use MongoDB right away if you want to build a full-fledged application that requires a database.

Operational Intelligence
Databases are used to store analytics information other than business data storage. These are equally vital to a firm, as user trends and analytics influence many decisions. A fast and scalable database system capable of handling millions of queries per second is required for this use case. With its easily scalable infrastructure and lightning-fast performance, MongoDB is ideal for the job.

Content Management Systems
MongoDB's quick and flexible structure makes it simple to create blogs and forums. This opens the door for an online discussion on forum applications. This exploits MongoDB's capability to provide users with faster engagement and a more pleasant experience. Additional features such as comments and answers can be quickly added because nesting objects within another in a JSON-based database is quite simple.

Learning MongoDB
Given that MongoDB is a powerful document-based database, it's critical to understand how to get the most of it. MongoDB is one of the foundational aspects for a job as a database administrator or a system architect. There are certain extra concepts you may need to understand, such as SQL databases, but having a strong foundation in MongoDB is critical nowadays.

Various e-learning platforms will help you learn MongoDB and all the concepts associated with it. uCertify is one of those platforms. MongoDB fundamentals and advanced concepts are covered in the MongoDB course and lab. MongoDB data structures and shell; building with program language drivers, MongoDB security, managing MongoDB performance, using MongoDB shell, and much more are covered in this course. So, get yourself enrolled in the course and enhance your career prospects!