A plethora of surveys that have been carried out clearly specifies an exponential growth in the number of people accessing websites on their handheld devices. Consequently, it becomes inevitable for the developers to embrace responsive web design for the website development as they appear well and usable on both the computer and portable devices.
MEAN is a free and open source software stack, having four key components namely, MongoDB, ExpressJS, AngularJS, and NodeJS. As each part of MEAN stack is both open source and free, it behooves developers to make dynamic and advanced web applications without extending the project overheads. And for the several reasons, MEAN stack is a developer preferred choice.
The Anatomy of Mean Stack
MongoDB is a, cross-platform open-source and NoSQL database. It authorizes the website developers to store data in binary JSON arrangement. Therefore, the developers can conveniently follow the traditional table-based relational database composition with JSON-similar records.
ExpressJS is one of the most preferred choices for web application server frameworks of the developers for web app development. It’s a light-weight framework and benefits you design your web app on the server side into the MVC architecture. It builds application’s routing and provides a wide set of middleware to facilitate you to smoothly manage the flow of your app and provide you with the ability to instantly build simple to great APIs.
Benefits of Web Application Development with MEAN stack
- MEAN Stack is an Open Source, so as an expert developer one can customize as needed
- Compatible models across the stack
- One language used in the whole application development
- Pretty low memory expenses
- JSON is accepted for data transfer
- Huge module library of NodeJS
- MVC Pattern Support
- Large Developer Community
A lot of business owners today use MEAN stack to improve their existing web apps and websites. It is also excellent for other web content platforms like blogs, social media websites, real-time messaging and data-intensive applications.
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