Why MEAN is an ideal stack for large-scale eCommerce projects?28th June 2019
Why MEAN is an ideal stack for large-scale eCommerce projects
It’s tough to work as a software developer. You invest time, money, and efforts learning some technology, and a new kid in the block steals all the charm with some new promises. MEAN stack was one such new kid in the block back in 2013 when Valeri Karpov coined the term MEAN.
Today, MEAN has come as a significant transition from traditional development methodologies and offers some massive performance improvements in the new web projects. It was only a few years ago that the MEAN stack was an infant technology, and now it’s poaching the developers from the LAMP stack’s territory.
What’s all the fuss about? What’s trendy about MEAN that it’s taking over the world of web development by storms? Who is backing this new technology?
Well, will know everything soon. Let’s know this kid in detail first.
Disclaimer: This content does not intend to poach members from the LAMP’s territory. It’s all about understanding the advantages of this stack, and knowing why developers are considering it as a suitable choice for large-scale developments.
What exactly is MEAN stack?
MEAN stack is a complete collection of certain frameworks required to develop an entire dynamic web project. The abbreviation expands as follows:
- MongoDB: For Database: A document-based database that uses JSON* to store data.
MongoDB: Best of both worlds
Where the MongoDB database is concerned, it’s a non-relational document-based database system. It stores data in BSON documents. BSON is nothing but a representation of JSON documents in binary-encoded format.
Here is a sample JSON for inserting multiple documents in the MongoDB database:
The beauty of MongoDB is that you can implement an asynchronous execution using callback or promises. In the above example, you can add the following lines at the end to implement the asynchronous execution in the insertMany object:
Is MongoDB is better than MySQL?
As it is a non-relational and NoSQL database system, it does not have to store data in specific rows and columns like MySQL and other relational databases. MongoDB uses BSON key-value pair model to store data without considering the structure. While MySQL is represented as tables and use Structured Query Language.
Despite this, MongoDB still complies with the existing authentications, indexing, and data access like any MySQL database. As a result, it is so easy to adjust the schema in real-time with MongoDB, that too without breaking it. The Dynamic Schema makes the queries and web applications faster than those who rely on MySQL.
Please note: Node.js is compatible with both MySQL and NoSQL databases. Developers just prefer to use NoSQL for added benefits.
Express.js: A Node.js back-end web development framework
Express is nothing but a minimal and flexible form of Node.js web application framework. It is used in the MEAN stack for back-end development. However, it offers robust features required for all kinds of web and mobile app developments. It’s open source and is maintained by the Node.js foundation.
As a back-end framework to communicate with the server and handle HTTP requests from all parts of the application, it manages resource allocation as per the requests. As it is based on Node.js, it inherits all the properties of the Node. For example:
- It’s asynchronous and event-driven
- All of its libraries are non-blocking.
Its server does not wait for the outputs from API to return data and moves directly to the next API. It uses, notifications of events to respond to the server for the previous API request. This makes Node.js shopping cart and various other kinds of applications extremely fast.