If you’re building apps that need to handle a bunch of stuff at once, like real-time data processing or tons of simultaneous requests, PHP and Go don’t even compare. Go just gets concurrency, while PHP feels like it’s struggling to keep up. Let’s dig into why Go’s concurrency model is a game-changer.

PHP’s Concurrency issues

PHP was never really built for handling multiple tasks at once. Each request is handled in a single process, one task at a time. This works fine for typical web apps (like CMS or e-commerce platforms), but if you try doing real-time data or concurrent processing, PHP hits a wall fast. You can use tools like ReactPHP or PHP threading extensions to force some level of concurrency, but it’s clunky. These workarounds add a layer of complexity and don’t play nicely with PHP’s ecosystem, which just ends up creating a mess.

From my experience, handling concurrency in PHP feels like patching a leaky boat—there’s always something else that needs fixing, and scaling becomes a nightmare.

Go’s Concurrency solutions

Go’s concurrency model, though, is next level. Go has this thing called goroutines, which are like super-lightweight threads. You can run thousands of these without draining your system’s resources. Want to run multiple API requests at once? Just spin up a goroutine for each one, and they all handle their work side-by-side. Then, channels let you pass data between these goroutines, keeping everything in sync.

The first time I used Go for a project that needed real-time data processing, I was honestly shocked at how smooth it was. No extra libraries, no weird setups—just fast, efficient concurrency right out of the box.

My take

For a basic website, PHP is fine, but if your project involves heavy-duty, parallel tasks, Go’s a total game-changer. It’s not just faster—it changes how you think about building and scaling your app. If you need real concurrency, Go’s the clear winner.