MEAN is a free and open-source JavaScript software stack for building dynamic websites and web applications.The MEAN stack is MongoDB, Express.js, AngularJS (or Angular), and Node.js. Because all components of the MEAN stack support programs are written in JavaScript, MEAN applications can be written in one language for both server-side and client-side execution environments.
The components of the MEAN stack are as follows:
- MongoDB, a NoSQL database
- Express.js, a web application framework that runs on Node.js
- Angular.js or Angular, JavaScript MVC frameworks that run in browser JavaScript engines
- Node.js, an execution environment for event-driven server-side and networking applications
Developing apps using MEAN is simple and fast because developers are allowed to write code only in one language i.e JavaScript for both client and server side. A JavaScript specialist can manage the complete project with the help of MEAN Stack formula. With Node.js, a developer can deploy the applications on the server directly without the need of deploying it to a stand-alone server.
MEAN allows you to test an application on cloud platform easily after successful completion of a development process. Applications can be easily developed, tested and introduced in the cloud. It also allows you to add extra information simply by adding the field to your form. MongoDB, specifically designed for the cloud, provides full cluster support and automatic replication.
JSON (JavaScript Object Notation) is used in both NodeJS and AngularJS. And MongoDB is a component-based relational database that offers users to save documents in JSON format. But it is limited for only small to intermediate level companies. Mostly, developers prefer MEAN stack at various stages of applications and web development.
Node.js is speedy and ascendable because of its non-blocking architecture. Angular.js is an open source JavaScript framework that offers maintenance, testability, and reusability. Powerful directives of this framework progress into great testability and domain-specific language.