To select the server-side language, there is a hype among the users. Server-side solutions available, but one of the most commonly asked questions, has always been what language is safe and convenient to use. We will discern the two most prominent and widely used technologies in this article, namely Spring Boot & Node JS. We will see Spring Boot VS Node JS in this report. Also, we will see which one is more versatile and trendier.
Let's have a brief overview of both technologies before jumping into the topic:
Spring Boot is a Java Platform used for the development of enterprise web-based applications. Among the developers, it is popular because it offers some comprehensive functionality to decrease the effort of the developer, such as auto-configuration. For Java enterprise applications, the Spring Boot Architecture is common for programming & managing. It can be used with other Java systems, such as Hibernate and Struts; it gives an application ready for development. In Spring Boot, there is no need to build configurations since all the fundamental configurations are automatically made by Spring Boot. An embedded server in a jar file is supported in Spring Boot.
Since the Spring Boot is a Java framework, it by necessity inherits all the Java functions, making it a strong business technology to choose from. Safe and multithreaded apps are supported by Spring Boot.
It's always been a favored choice because of its safety and simple code maintenance. It delivers security with the assurance of Java.
Pros and Cons of Spring Boot
Few valuable Spring Boot features are as follows:
1. It is easy to develop applications with Spring Boot.
2. It offers several features, such as auto-configuration, YAML support, saving time, and also increases productivity.
3. Supports multi-threading.
4. Boilerplate codes, annotations, and XML settings are avoided in the Spring Boot.
5. For enterprise applications, it offers embedded HTTP servers.
6. For the development and testing of software, it supports different plugins.
7. It assists CLI in the development and testing of terminal applications.
1. Java is verbose in Spring Boot.
2. Spring Boot framework has plenty of boilerplate code, which makes debugging difficult.
3. It may contain unused dependencies.
4. Spring Boot has a high use of memory.
Companies using Spring Boot
JPMorgan Chase & company
For designing server-side applications, it supports event-driven, non-blocking I/O, and cross-platform runtime environments. The programs for Node are extremely scalable. It can be found in various applications such as mobile applications, apps for the command line, apps for real-time chat, apps for rest, etc. It is mostly used, though, to construct network programs such as web servers.
Ryan Dahl introduced Node.js to the industry in 2009.
Pros and Cons of Node JS
Few valuable Node JS features are as follows:
1. Node JS is faster than other frameworks.
3. It can be run cross-platform on various operating systems, such as Windows, MAC, or Linux.
4. It is a lightweight structure that requires minimal modules.
5. It is an open-source system distributed under license from MIT (Massachusetts Institute of Technology).
1. It lacks strict form checking that can lead to problems with run time.
2. Not great for heavy computing.
3. It does not support multithreading
4. It does not contain unused dependencies.
Companies using Node JS
Performance Comparison of Spring Boot & Node JS
Some quality comparison of Node.js & Spring Boot is given below:
Node is Single Threaded Whereas Spring Boot is Multithreaded
Node JS development is Single Threaded, which means that it is easy to address one request with one thread. The thread doesn't need to wait for the database to retrieve it if we need to ask the database. It will represent the other request until the request is done.
The message is posted in the event queue after the database finishes its task. The node will immediately control the queue. It removes it from the queue as it accepts the occurrence and places it in the process.
This makes the I/O operations best for the node and allows multiple network access. Without using more hardware, Node makes it extremely efficient & scalable. Its big downside is that other users have to wait before assessing another user. Therefore, for CPU intensive applications such as video processing, image editing, etc., the Node is not recommended.
Comparatively, multithreading is enabled by Spring Boot, which ensures that we can execute multiple tasks concurrently. The application is supported by multithreading to work faster. In contrast to Node, Spring Boot is preferred for large scale applications that have several functions.
The I/O model
For the method of displaying the data, the I/O model is responsible. It is also an important consideration in selecting a framework as well. There are two kinds of I/O calls.
Although I/O calls are blocked by the Spring Boot, Node.js applications are non-blocking and asynchronous. The thread in the block will not be executed by I/O calls until the entire I/O is completely received. Other requests can quickly be implemented by the Non-blocking I/O calls without the need for other requests to wait.
In contrast with the Spring Boot, the Node will submit several requests at a time; we have to wait for any I/O request.
High concurrency is required for enterprise web applications. Java is multithreaded and for each request, it includes a dedicated thread. So, to account for growing demand, it would take many threads. If there are no participants, the execution time between these threads would be high. The Node performs more effectively in such situations.
Both the mentioned technologies are great. Now, you may also wonder which one is best for your company or for studying. So, let’s give the topic a final touch:
It is good to use any of the techniques. You should go with Node to provide a superfast pace and fast response if you are developing a project that needs lots of I/O processing. The Spring Boot would be the preferred option if you are designing a project to execute a wide range of computational operations, such as (IoT, eCommerce website, or Big Data).