The dire need for acceleration in digital business among organizations has been putting immense pressure on IT teams to enhance time-to-value and delivery speed of applications. Demand for custom software solutions from developers bereft of IT has in turn influenced the adoption of cloud native application development. Gartner forecasts that low-code application platforms will remain the largest component of low-code development technologies, accounting for nearly 30% shares through 2022.
Node.js and Java both have their unique pros and cons, when it comes to application development. While Java is elder to Node.js, it is relatively more complicated. In this modern business world, it is crucial for organizations to understand the relevance of their end use before choosing the perfect technology for developing applications.
A Quick Comparison Between Java And Node.js
|Performance||Very low. However, performance can be enhanced by using JIT compilers.||Runs faster compared to Java without any buffering.|
|Security||Highly secure. There are no vulnerabilities, except the ones from integrations.||Vulnerable to denial-of-service (DoS) attacks and cross-site scripting. It lacks default risk management.|
|Coding Speed||Needs greater definitions and is time-intensive for developing applications.||Lesser time for application development, as it is lightweight and more flexible.|
|Development Cost||More affordable than Node.JS. Cost may vary depending on the option of outsourcing.||Greater than Java.|
When to Choose Node.js for Application Development?
Node.js has grown rapidly over the past few years, not only among start-ups but also among large organizations. It has been the application development environment for several technology giants, including Amazon, LinkedIn, and Netflix. Node.js is a surging trend. However, in terms of application development, organizations need to understand where specifically it must be used for leveraging its complete potential.
- API Applications: For API applications having both non-relational as well as relational databases, Node.js is preferred for development. This is because Node.js operates on just one thread, facilitating handling of tens of thousands of users. Moreover, the blocking input/output tasks, such as accessing databases, is asynchronously processed via internal threads without interfering with the primary thread. These aspects of Node.js make it ideal for handling voluminous requests and run database operations.
- Microservices: Building microservices has been another key area where Node.js has been proved promising. The main driver behind Node.js adoption here is its nature of using event-driven architectures that can be decoupled. Node.js has been supporting many organizations in segmenting large scale systems into minute parts of microservices and deploying them independently.
- Real-Time Applications: Greater performance and deployment speed of Node.js make it ideal for use in real-time interactions. Such environments built with Node.js can allow the heavy traffic of numerous short messaging to flow in a streamlined manner. It can also be used for building applications that allow displaying messages to various users simultaneously.
When to Choose Java for Application Development?
Touted as the development of choice for web applications, Java is versatile and allows to develop resilient, customized solutions for all business requirements. Java is preferred among both small and large organizations alike, when it comes to software applications that are necessary to keep the business running.
Following are some key application development areas where Java is essentially preferred.
- IoT Applications: IoT, or Internet of Things, is revolutionizing the daily lives of humans. Java has played a major role here. Although laptops, tablets, and smartphones have been accustomed with IoT environments, it is easy to oversee that most smaller devices with low-energy CPUs leverage IoT. The functionality and versatility of Java sets it apart from Node.js when it comes to IoT devices. This, along with automated memory management, help developers prevent overloading of low-powered hardware, thus making it easier to implement memory confinements.
- Big Data: IoT devices only grow smarter with use when they are powered by effective and insightful data. A language utilized by Hadoop, Java is considered to be the powerhouse in the landscape for Big Data. Therefore, when it comes to using Big Data, upskilling oneself in Java becomes mandatory for IT professionals.
- Enterprise Applications: Many applications run on Java as their backbone. Even Fortune 500 organizations leverage such applications on a huge scale. Java is here to stay in enterprise applications, not just because of its inherent resilience and security but for its nature of extensive documentation and supporting a wide spectrum of libraries.
Both Node.js and Java are unique when it comes to their components, libraries, and communities, facilitating professionals and newbies alike in developing applications. While Node.js is preferable for streaming, big data projects, and real-time applications, Java is perfect for trading and web applications. Having the right understanding of when and where to use them is important for organizations to evaluate what’s suits best for their business-specific requirements.