Why Choose Golang Over Node.js? Exploring Cost, Efficiency and Performance

Mridul GuptaMridul Gupta
3 min read

When it comes to building server-side applications, Go (Golang) and Node.js are two popular choices, each with its own strengths and best uses. It’s important to understand these differences to decide which one fits your needs, especially when it comes to saving on resources and costs.

Key Differences also Highlighted in Multiple Articles

Based on various sources, here are some basic differences between Go and Node.js that are often highlighted:

  • Concurrency: Go excels in handling concurrent tasks efficiently with its lightweight goroutines, while Node.js uses an event-driven, single-threaded model which can sometimes lead to more complex code for handling concurrency.

  • Performance: Go’s compiled nature often leads to faster performance compared to Node.js, which is interpreted at runtime. This difference can be crucial for applications needing high throughput and low latency.

  • Developer Experience: Node.js, being JavaScript-based, is often favored for its familiarity and ease of learning for developers already comfortable with JavaScript. Go, while more verbose, offers strong typing and compile-time checks that can catch errors early in the development process.

Simplifying the Differences: What Others Often Miss

Understanding Resource Usage

Let’s imagine you’ve just bought an Amazon EC2 instance to run your server-side app. Now, you need to decide whether to deploy a Node.js app or a Go app (written in Golang) on this instance.

Node.js: Event-Driven and JavaScript-Based

Node.js is known for its event-driven approach, which makes it great for handling lots of connections at once. It uses JavaScript and non-blocking I/O, which is good for apps needing to manage many tasks simultaneously, like real-time apps or APIs serving many clients.

But Node.js apps can use up more resources, like CPU and memory, compared to Go apps. This can mean higher costs, especially when you’re scaling up to more instances or bigger servers.

Go (Golang): Efficient and Concurrent

On the other hand, Go is a language built for efficiency and handling lots of things happening at once (concurrency). It’s designed to use fewer resources like CPU and memory. So, running a Go app on your EC2 instance might cost you less and let you handle more requests without needing as much computing power.

Example Scenario: Saving Money

Let’s break it down with an example:

Say you have an EC2 instance with 4 CPU cores and 16 GB of RAM. You decide to test both a Node.js app and a Go app to see how much of these resources they use.

  • Node.js App: Because it’s single-threaded and uses an event loop, a Node.js app might use a lot of CPU when handling many requests at once. This could mean faster use of your resources and needing more instances as your app gets busier.

  • Go App: In contrast, a Go app can handle the same number of requests with less CPU. This means you might not need to upgrade your infrastructure as quickly, which saves you money in the long run.

Conclusion

Deciding between Node.js and Go depends on what your app needs:

  • Node.js is good for apps needing real-time features and handling lots of tasks at once.

  • Go works well for apps needing high performance, efficiency, and scalability, potentially saving you on infrastructure costs.

By understanding these differences, including how they apply to EC2 instances, you can make a smart choice that fits your app’s needs and budget. Both Node.js and Go have their strengths, so picking the right one can really boost your app’s performance and save you money in the process.

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Written by

Mridul Gupta
Mridul Gupta

I am passionate about backend development, and I specialize in creating scalable and efficient architectures. With a deep understanding of software engineering principles, I excel at solving complex challenges and optimizing performance. Always eager to learn and innovate, I bring the best practices to every project. Connect with me to collaborate on cutting-edge backend solutions.