

It is also compatible with IDEs like Studio3T, JetBrains (DataGrip), and VS Code. Apart from its own MongoDB Atlas, MongoDB Charts, and MongoDB Compass, the database server offers seamless compatibility with many operating systems like Linux, Windows, and macOS. This data can be accessed and analyzed via several clients supported by MongoDB. MongoDB offers several advantageous features to store your data. MongoDB stores data in collections of JSON documents in a human-readable format. The underlying model is the crucial conceptual difference between MongoDB and other SQL databases. But, if you want to work without SQL-based structures and still avail all advanced database functions, MongoDB is a great NoSQL database that is several times faster than traditional relational databases. Generally, relational databases offer advanced analytics and integrations because of their SQL support for structured data.

Before we get started on exploring some exciting projects on MongoDB, let’s understand what exactly MongoDB offers as a NoSQL Database. This blog enlists 10 MongoDB projects that will help you learn about processing big data in a MongoDB database. If you wish to build web solutions and seek a career in web app development, create projects and get hands-on MongoDB skills.

