With the requirement of more and more network-enabled and scalable business applications, NodeJS development is becoming more popular. With its upgraded architecture, community support, and Node Package Manager, developers are able to save time for crafting feature-rich real-time applications.
Below you can find out some of the major uses of NodeJS Development:
Data Streaming Applications
Industry giants, such as Netflix and Amazon Prime are heavily benefitted from NodeJS, as it ensures feather-light downloading and uploading speed for large amounts of data. With this, ads are flawlessly displayed, live TV shows are telecasted across mobile devices and official conferences are performed without any disruption. Not only videos, but any type of file is also comfortably processed while maintaining a suitable standard.
NodeJS is a perfect choice for furnishing an IoT application, as it is capable of seamlessly processing data transferred between multiple smart devices. Due to its event-driven architecture, QoS is maintained and concurrent data received from devices are processed simultaneously, which also enables users to monitor the performance of each network component.
Backend and Frontend Development
NodeJS is not like any other programming language, which can only build interfaces or logic. This is an all-rounder technology, employed to produce a full-stack business solution. As a result, NodeJS software is cross-platform compatible, ideal API integrations are performed and user interactivity is enhanced.
Nowadays, communicating over chat is preferred and a lot of games and mail applications are available with embedded chat features. Through packages available in NPM, independent chat rooms can be created, which can only be used by your staff or any other group of members. In addition, sharing of videos, images, PDFs, and other files can also be adjoined as per your necessity.
Handling Queued Input
The overall working of any application is designed to lift up bulky data blocks and NodeJS insures you for holding each and every data block transported through an application. Due to its concurrent connection handling, bottlenecks in the database are reduced and software responsiveness is sustained even during heavy loads.