Are you unable to decide which language is better - Node.js vs Spring Java? Reading this Node.js vs Spring Java article will definitely give you a clear vision of what is best. Here, we will discuss the comparison of programming languages Node.js vs Spring Java.
Java is a write-once, run-anywhere programming language. Spring boot framework is an open-source Java platform used for creating a microservice. It is developed by the Pivotal team and contains comprehensive infrastructure support for developing enterprise-ready applications. Developers use this framework to develop high-performing, easily testable, and reusable code.
As we move forward, it's crucial for us to understand the fundamental differences between these two frameworks and what makes them so unique, as well as what tools are available to make our applications and businesses better.
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The Input/Output model is a process of representing data and referring to it as shown by the computer. Actually, it is of two types, such as blocking and non-blocking. Blocking refers to a thread that can't do anything until the entire IO is fully received. While non-blocking implies when an IO request is already underway, it can easily execute the other requests without the need for any wait.
Node.js applications are non-blocking I/O and asynchronous. The benefit of this is that one thread is being used and has a low memory utilization. It can send several requests at the same time.
Spring boot Java has a Blocking I/O, and in this case, users have to wait for every I/O request.
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Java Spring is a multi-threaded which implies that many tasks are performed concurrently. Multi-threading helps applications to perform in a better way and is mostly recommended for large scale projects to handle multiple tasks simultaneously.
On the other hand, Node.js is a single-threaded, which implies that one request can be handled with only one thread. To query a database, the thread need not wait for the database to fetch back the data. The single thread can also be used to serve another request while the database completes a specific query, and a message is posted in the event queue. Node.js is perfect for I/O based applications, which makes it easier for a lot of network access and flexibility.
Companies using Java Spring are Google, Accenture, Microsoft, Amazon, and more.
On the other hand, Popular companies like Netflix, Uber, Medium, Paypal, NASA, eBay, etc. are using Node.js.
This isn't to say that these companies use only that specific framework, but just they publicly came out saying they use these technologies. Also, notice that great technology companies are using both frameworks.
For enterprise web applications, high concurrency is required. As Java Spring is multi-threaded, it requires a thread for each request, and it becomes expensive as it demands many threads to achieve full concurrency.
While the Node.js is single-threaded, the CPU will be busy when it is operating on full load and OS will not break down until the request is serviced.
Node.js is leading in top 10k sites, top 100k sites, and the entire web. Compared with Node.js market share, Java Spring is lagging in all the segments.
NodeJs has better usage coverage in more website categories, such as Computers Electronics & Technology, Arts & Entertainment, Vehicles, Finance, and many other categories. While Spring hasn't got a lead over NodeJs in any websites category
NodeJs is leading in most of the countries, including the United States, China, Russia, Brazil, and 152 other countries while Spring hasn't got a lead over NodeJs in any country.
Related Blog: Spring Boot vs Spring MVC
Finally, which technology to choose totally depends on what applications we want to build and also on developer requirements. If you're going to develop an app that depends on I/O, then go to Node.js. But if you want to build a super-fast application(eCommerce platforms, IoT, etc.) with a crazy amount of computing, then go to Spring boot framework.
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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