Today, several server-side technologies power businesses in powerful ways. Examples are online marketplaces and food delivery apps, among others. Most of the work that we do today is online. Schooling and meeting doctors also take place online.
You can use several technologies to make your business available online, some of them being Node.js, Java Spring Boot, or Python. In this article, we attempt to compare Node.js and Java Spring Boot and see which one is preferable for building microservices applications. Many enterprise organizations are moving their software from monolith applications to microservices to attain higher efficiencies and significant other advantages.
Java itself is a class-based OO programming language. Java is portable, in the sense, a java program that is written for a specific platform runs on a consolidated hardware-OS combination. Spring Boot Java is an open-source framework (Java-based) used for the creation of a microservice.
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Java with its ecosystem with libraries, plugins, and APIs and a virtual machine with a runtime environment has evolved on its own.
Spring Boot which is implemented using Java allows a quick build-up of standalone applications. The bootstrapped version of the Spring platform helps to get the application running by reducing the procedures.
One is a language and the other is a runtime environment. However, it is important to understand the differences between the two, because only then can the right tools be used with these frameworks to make the business applications function better.
Single vs. Multi-thread
Spring Boot Java is multi-threadedand therefore several tasks can be completed concurrently. This helps applications to perform better. In large-scale projects involving multiple tasks that have to be completed simultaneously, Java is recommended in place of Node.js.
Node.js, on the other hand, is single-threaded, which means that one request can be dealt with using one thread. In the case of a database query, the thread does not have to wait while the data is being fetched as a response to the first query. The thread can then handle another request.
Once the database completes the task, the message reaches the event queue. Node.js monitors the queue continuously, detects the events and starts processing it. This makes Node.js perfectly suitable for I/O-based applications that call for wide network access.
However, in the case of calculations, Node.js caters to the second client only after the request of the first client is completed. Therefore, Node.js is not recommended in situations CPU-intense operations such as image manipulation or video encoding.
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I/O model is the process wherein data is displayed or referred to on the computer. I/O calls are either of the blocking or non-blocking types. Whereas in the blocking type, the thread does not do much unless the IO is completely received, in the non-blocking type, the thread implements other requests without waiting.
Whereas Node.js applications are both asynchronous and non-blocking, Spring Boot Java has blocking I/O. In Node.js applications, developers can send more than one request at a time, whereas with Spring Boot Java, the developer will have to wait for every single I/O request.
Web applications of an enterprise nature require a high amount of concurrency. Spring Boot Java has to dedicate one thread for each request. Therefore, many threads are required for concurrency. When the request load is high, the OS cuts the time of the CPU among these requests. This turns out to be expensive and less efficient.
However, Node.js is efficient in that the CPU has no cut of the processing time and this time is devoted to the process that is currently taking place.
Spring Boot – Pros
Node.js – Cons
Spring Boot – Cons
If you want your application to do a large amount of computing such as in Big Data, eCommerce or IoT, then it is better to go the Spring Boot way. However, wherever applications need a lot of I/O, such as in media apps, booking systems, and finance technology apps, Node.js is a better choice.
READ ALSO: The 5 Best Microservices Technologies List
First created by Sun Microsystems, and now owned by Oracle, Java is widely used for server-side programming for a long time now. For many companies, some issues arise when Java is used. The use of Java on Android was not without problems, which is the reason Google adopted Kotlin.
Google has not completely disowned Java. It uses the JVM in Dalvik, an Android core. The Android ecosystem is structured using Java, on an upgrade of JVM. Oracle and Google got into a kind of conflict because Oracle prohibits any modernization of the JVM. However, there are no barriers as such for the Java language itself.
Google, Accenture, Microsoft, and Amazon some companies that use Spring Boot. Fast performance with microservices, availability of many off-the-shelf functionalities, easy setup and fast development are some of the qualities that allow developers to choose Spring Boot.
LinkedIn, Uber, and Trello are among the many global companies that use Node.js to amp up their back-end development. Considered as the go-to language for dynamic websites, it offers fast scalability, load-balancing capabilities, faster websites, and only one language needs to be used for both back- and front-end programming in the case of node.js. This means fewer files, a fewer number of code lines, and easier management. This is perfect for microservices development.
Many of the biggest technology companies use both frameworks. An organization can choose the technology based on the applications they are planning to build as well as the developer requirements. When developing an app depending on I/O, Node.js is the answer. For superfast apps that are computation dependent, choose the Spring Boot framework.
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