Introduction

A database is a platform to store data in a way that is secure, reliable, and easily available. There are two types of databases used in general: relational databases and non-relational databases. Non-relational databases are often called as NoSQL databases. A NoSQL database is used to store large quantities of complex and diverse data, such as product catalogs, logs, user interactions, analytics, and more. MongoDB is one of the most established NoSQL databases, with features such as data aggregation, ACID (Atomicity, Consistency, Isolation, Durability) transactions, horizontal scaling, and Charts, all of which we will explore in detail in the upcoming sections.

Data is crucial for businesses—specifically, storing, analyzing, and visualizing the data while making data-driven decisions. It is for this reason that MongoDB is trusted and used by companies such as Google, Facebook, Adobe, Cisco, eBay, SAP, EA, and many more.

MongoDB comes in different variants and can be utilized for both experimental and real-world applications. It is easier to set up and simpler to manage than most other databases due to its intuitive syntax for queries and commands. MongoDB is available for anyone to install on their own machine(s) or to be used on the cloud as a managed service. MongoDB's cloud-managed service (called Atlas) is available to everyone for free, whether you are an established enterprise or a student. Before we start our discussion of MongoDB, let us first learn about database management systems.