Node.Js Vs. Python

Node.Js Vs. Python: Which Backend Technology To Choose In 2022?

Table of contents:

  • Introduction
  • Node.Js
  • Benefits and drawbacks of node.js
  • Python¬†
  • Advantages & disadvantages of Python
  • Challenges of Python¬†
  • Challenges of Node.js
  • Comparison between Python and Node.js
  • Conclusion


In the last several years, both Node.js and Python have gained in popularity. When it comes to Node.js vs. Python, StackOverflow claims that Python is one of the most popular programming languages, whereas Node.js is best for server expansion. Not only that, and both of those programming languages do have a large and growing user base that is expected to continue to grow in the near future.

That’s why, when it comes to choosing between Node.js and Python as both the right backend technology for the project, many large corporations and developers are torn.


Node.js is indeed a Google V8 engine-based asynchronous JavaScript runtime. It’s frequently used to create real-time applications, backend services, and desktop and mobile apps. Node.js seems to be scalable and brings tremendous efficiency improvements to the project because it is event-driven. Its asynchronous nature allows it to handle multiple requests at the same time without blocking I/O operations. 

Node.js has been multi-paradigm and can be used in the following ways:




programming is a type of functional programming.

With Node, programmers can create both a backend and a frontend with a single stack. This unique feature allows teams to share the same skill set, onboard new staff, quickly, and avert rehiring. It has evolved into a strong competitor to elderly languages like Python, and it now includes a number of tools for backend development. It’s easy to use and can run on a variety of platforms, including Mac OS X, Windows, Linux, Unix, and others.

Node.js has a number of advantages that make it an excellent backend technology for almost any project. It does not, however, come without flaws. Check Out for Node.js Interview Questions and Answers to crack the interview easily.

The Benefits and Drawbacks of Using Node.js


Node was designed with web development in thought, so it addresses the industry’s most pressing issues. Fast performance, regular library tool updates, adaptable syntax, and advanced code sharing are just a few of the key benefits.

1. Stack of cutting-edge technology

Because Node.js would be based on JavaScript, you have access to all JavaScript resources, as well as the JavaScript tech stack and community. Working with Node.js allows you to create projects using the MEAN Stack, which combines MongoDB, Express.js, Angular, and Node.js to meet all of your web development needs: MongoDB for managing data; Express.js for backend development efficiency; Angular for frontend development, running JS developers to make a dynamic user interface; Node.js for backend JavaScript technology solutions.

2. Microservice development requires flexibility.

Developers could indeed edit different modules at the same time using a package manager with free modules, which is ideal for microservice architecture. Big names have used Node.js to make the transition from monolith to microservices. Because of Node.js’ non-blocking nature, companies were able to divide functionality into smaller pieces, enhance development and maintenance quality, and update multiple features at the same time.

3. Ecosystem that is strong

Numerous open-source JS plugins are included in the Node.js package manager. Over 840,000 libraries are available on NPM. NPM modules are used by Node.js and JavaScript developers in over 97 percent of web apps.

4. Model based on past events

Java, PHP, and Go are all 2-3 times slower than Node.js. Despite user actions, Node.js performs an algorithm of operations using event-based programming. When a user clicks a button, the program displays a new page, sends a clear message, or showcases new content quickly.


Node.js has inherited not only the benefits of JS but also its drawbacks. Let’s take a look at the disadvantages of using Node.js.

1. Problems with performance

CPU-bound tasks have seemed a lot more frequent when you use Node.js for the backend runtime environment. Node.js’ structure is sometimes incompatible with high-load-CPU processes, limiting developers and slowing performance.

2. Tools that are too young

NPM modules that aren’t as well-known lack documentation, have glitches and are poorly built. This is due to the fact that Node.js is open-source, which also means that most of its updates are not subjected to rigorous quality control.

3. Callback abyss

Callbacks are used by Node.js to keep track of completed tasks. Callbacks increase as the project grows in size and the number of available processes grows. Developers fear of getting lost in callbacks and missing critical bugs or technical debt.


Python, on the other hand, is a full-featured, high-level, object-oriented programming language. Guido van Rossum introduced Python in 1991, and its application began in 1989. Python is known for its easy-to-understand syntax. It’s one of the most widely used web development languages on the planet. It’s a general-purpose programming language that can be used to create a variety of apps and websites, as well as perform data analysis. The App Engine allows you to use Python to create web applications. It also allows you to take advantage of a number of tools and libraries that so many Python programmers use. Python is well-suited to a variety of programming paradigms and is widely used in business applications.Explore Python Tutorial for more information.

It has a large community, libraries, and aiding platforms. As a result, it’s an ideal programming language for most companies that need to create applications for a variety of different, often unrelated, use cases.

Python features include-

  • It’s a free and open-source high-level language. Anyone can learn it, develop applications with it, and make a contribution to the language and its packages.
  • Python has large numbers of modules, which allows quickly to quickly create complex applications.
  • It supports Object-Oriented Programming as well as functional and structured programming methods.
  • Python is compatible with a wide range of graphical user interface frameworks. There are a few well-known libraries for GUI support.

Python’s advantages and disadvantages

Despite the fact that Python is not designed specifically for web development, it has some advantages. Let’s take a look at the advantages of Python.


1. Simplicity

Because Python syntax is so communicative, the code files are very readable. It takes 10-30 minutes to get the hang of simple tasks.

2. Learning opportunities in AI and machine learning

Python has many built-in AI libraries, such as Tensorflow, Pylearn2, and Scikit, which allow for artificial intelligence and machine learning.

3. There are several locations where the library can be hosted.

Several hosting providers endorse Python code natively, as well as allow the integration of additional plugins and APIs. You can use a variety of platforms for this, including Digital Option, AWS, Heroku, TMDHosting, A2 Hosting, and many others.


Python wasn’t the most efficient language for web development due to its comprehensiveness.

1. Low-speed operation

Java vs. Node.js backend comparison. The comparison of js vs. Python speed revealed that Python is significantly slower when it comes to server-side operations. To make it easier to read, the language has several abstraction layers that take time to process.

2. Challenges in mobile development

You could use platforms and frameworks to make adjustments in Python for mobile development, but the effectiveness will be slow. Whenever it comes to hybrid development, Python is not a good choice. It’s also not an iOS or Android native language. This makes using Python for mobile development difficult.

Check out Python Online Training & Certification Course to get yourself certified in Python with industry-level skills.

Python’s Challenges

To summarize the main challenges of using Python, consider the following:

There are two modules with the same name: The location of Python modules and the placement of their main scripts define them. There’s a chance you’ll mix up a name or location when entering a module, and the input will fail.

Memory-intensive processes are handled poorly: Python efficiently manages data by using automated data collectors and quick memory management. These CPU-intensive processes, on the other hand, tend to slow down when the system is large.

Node.js’s Challenges

All in all, there are three major challenges that a developer might face when working with Node.js:

The stack of technologies is extensive. As a result of a large number of poorly monitored tools, performance is inconsistent, and quality suffers.

Debt accumulation in the technology sector. Code bugs, readability issues, and technical debt are all caused by callback hell and low-quality NPM modules.

Problems with scalability It becomes more difficult for developers to spot a faulty module or perused through callback hell as the project grows. The testing and maintenance team must devote a significant amount of time to code cleanup over time and schedule regular tech debt management sessions.

A detailed comparison of Node.js and Python

  1. Scalability:

For Node.Js 

Because you can easily add extra modules and microservices, the development process in Node.js is highly flexible. The Node.js web app can also be scaled vertically and horizontally. Such microservices and modules could even run their own processes adaptively once your application is scaled. You can just use statically typed TypeScript or weakly typed JavaScript in Node.js, giving you more typing options.

For Python

Python’s dynamic typing is a benefit in terms of scaling, but it’s a disadvantage in terms of performance. When a project grows in size, it can be difficult for larger teams to maintain code. Because Python’s memory management isn’t thread-safe, it’s forced to use GIL despite its performance drawbacks. It’s based on the Global Interpreter Lock, which prevents it from running multiple threads at the same time.

  1. Syntax & Learning Curve

For Node.js:

If you’re already acquainted with Javascript, the learning curve for Node.js isn’t too steep. Because of Node.js’ event-driven development and good understanding, some people do believe that its placement and documentation are a little difficult. And once that’s fixed up, learning Node is virtually painless. 

For Python:

Python’s syntax is simple, making it a simple language to learn. It’s why, according to the 2020 developer survey, Python is one of the most popular languages. Python’s main selling point is its universality and simple syntax. Python has a shorter code length than Node.js or other programming languages and runtime environments, which is a well-known fact in the industry.

  1. Architecture

For Node.js:

Node.js is a server-side automated programming runtime environment. This indicates that the input-output functionality is not obstructed because a process is still running.

You can run parallel processes, allowing you to deploy the application more quickly. Because of its event-driven architecture, Node.js can take action as soon as an event occurs.

For Python:

Python’s architecture is diametrically opposed to Node’s. Python does not have built-in support for asynchronous programming, unlike js. It also does not support multithreading. However, libraries such as asyncio can be used to create asynchronous event-driven apps.

  1. Speed & Performance

For Node.js:

We’ve already looked at the non-blocking architecture of Node.js. Its execution process is simplified and faster as a result of this advantage. Moreover, Node.js allows you to run code outside of a web browser. This allows an app running in a web browser to run at a faster rate and perform well on efficiency metrics. This also enables the app to access features like TCP sockets, which aren’t available in most browsers.

For Python:

Multithreading is not possible in Python due to its innate architecture, which is a problem. It slows down processing because processes aren’t running in parallel. While Python’s syntax is simple to learn and use, it is too slow for applications that need to retrieve data from the web server frequently.


Focusing on the end-user experience of your product is the ideal way to address the issue of deciding between Python and Node.js. Make a list of all the features of your product and how you intend to implement them. It is preferable to use the language or runtime environment that has proven to be more useful. For developing web and backend applications, Python and Node.js are two influential and successful programming languages. There is no definite victor; it all depends on the specific use case or problem. As a result, think about what kind of product or service you want to make, what your end goals are, and what resources you have. Then pick a backend technology that suits your needs.

Author Bio

Sai Priya Ravuri is a Digital Marketer, and a passionate writer, who is working with MindMajix, a top global online training provider. She also holds in-depth knowledge of IT and demanding technologies such as Business Intelligence, Machine Learning, Salesforce, Cybersecurity, Software Testing, QA, Data analytics, Project Management and ERP tools, etc.