Node.JS: Key Use Cases
Programming and development of apps are commonplace now, thanks to the vital role such tools have come to play in the digitalization of, well, everything. Now as businesses set out to build such apps and products, there is the question of what development one must use; of course, the market has plenty of options to offer too & yet, Node.JS seems to be quite the crowd-favorite.
Being open-source, it is built on the Google V8 JavaScript engine. The API modules of Node.js help reduce the complexity of web applications. It allows the creation of scalable servers through its event-driven program model. Further, this model uses call-backs to signal task completion. Also, the NodeJS Use Cases are not limited to web applications. There are many other areas where you can use Node.js.
If this intrigues you and you are wondering if it would make sense for your development project as well, here are some of Node.JS’ key use cases to help you make an informed decision.
1. Data streaming: Data streaming is understandably a crucial part of the modern digital world, but it is not without its problems, especially since it necessitates a continuous data stream generated by various sources and delivered in several formats. This process is quite intensive as well as complex. In this context, Node.JS can be used to create modern data streaming features that allow files to be processed as they are uploaded.
2. Server-side proxy: When one is developing a complex web app, third-party proxy services are unable to properly handle multiple requests from various sources simultaneously. An effective solution to this issue is found via Node.JS which can be put to work as a server-side proxy to gather data from a variety of third-party resources. This way Node.JS can deal with plenty of simultaneous connections sans blocking.
3. Data processing: Yet another compelling use case for Node.JS is when it comes to big data and analytics. It is a given that both big data and data analytics involve extensive amounts of data; unfortunately, running such humongous amounts of data in the browser can result in massive wait times for users. This challenge is easily addressed via Node.JS which makes use of back pressuring to leverage the computer’s resources to deal with huge sets of data.
4. Data connectivity: Given the rapid growth in the number of IoT devices in the world, the development of IoT apps, ensuring IoT connectivity, etc. are among the leading concerns in the market. This problem is further exacerbated by the challenge posed by bandwidth consumption in an IoT network. Node.js helps address this particular problem as well by enabling the development of a proxy server to facilitate data connectivity as well as routing that, in turn, provides support for I/O connectivity without any impediments. It may also help to know that certain JavaScript libraries offer in-built solutions for IoT connectivity amongst devices on the network.
There you have it ladies and gentlemen, some of the many, many use cases where Node.JS can prove to be the ideal choice of app development tool. It is undoubtedly stable, enables accelerated development timelines, and can be easily and quickly scaled up as and when the requirement arises. No wonder why Node.JS remains a preferred choice for countless leading apps across the broad spectrum of industries; some of the biggest apps made using this nifty development tool include Uber, Asana, Twitter, Slack, Netflix, etc. So, what are you waiting for, then? Go ahead and start looking for a trusted name for custom Node.JS development services right away!
Similar Articles
For modern businesses to thrive, ensuring the effective management of inventory stands has become vitally important. Inventory management stands as a cornerstone of success. And the emergence of the Internet of Things (IoT) has introduced a new era of connectivity and efficiency across diverse industries.
Do you know what the following e-commerce companies have in common: Amazon, Walmart, eBay, and more? All of these e-commerce companies' apps make use of Java. Java is decidedly among the leading choices of programming language for e-commerce applications because it offers a world of benefits; for example, since Java code can be run on any platform with a Java Virtual Machine (JVM), users of e-commerce apps made with Java can access the said apps on a variety of devices.
Nikola Tesla in 1926, once described what is now called a mobile phone as a telephone that can fit into one's “vest pocket.” As otherworldly as that idea was then, nearly a century later, the reality is even more astounding.
Given the staggeringly high amounts of data being generated worldwide every single day, it ought to come as no surprise that organizations often struggle to pick the right tools to help them effectively harness the potential of all their data.
Managing properties can be a difficult task with the right tools. Property owners must find and use the best property management software. It can be a long and tedious process as there are many options in the property management software market.
In the ever-evolving financial services landscape, industry challenges are numerous and complex. From stringent regulations to rapidly advancing technology and changing consumer expectations, financial institutions face many obstacles.
The human learning capability is a great resource for helping technology evolve and grow, breaking boundaries, and creating new ones. Emulating the ability of humans to learn at a gradual but retentive pace, Machine Learning is the latest power monster that is redefining human-machine interaction.
In the ever-evolving landscape of low-code development, Microsoft's Power Platform stands out as a powerful tool for building custom applications. In today's dynamic digital landscape, creating and managing web pages is no longer the exclusive realm of professional web developers
In the data-driven business world, where information is of utmost priority, organizations are increasingly turning to data warehousing and data marts to harness the power of their data. These data management solutions are pivotal in transforming raw data into actionable insights.