PHP vs PHP-MVC: What are the differences?
What is PHP? A popular general-purpose scripting language that is especially suited to web development. Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
What is PHP-MVC? Simple and easy to understand MVC skeleton application. This project is - by intention - NOT a full framework, it's a bare-bone structure, written in purely native PHP ! The php-mvc skeleton tries to be the extremely slimmed down opposite of big frameworks like Zend2, Symfony or Laravel.
PHP and PHP-MVC are primarily classified as "Languages" and "Frameworks (Full Stack)" tools respectively.
PHP and PHP-MVC are both open source tools. It seems that PHP with 23.9K GitHub stars and 5.53K forks on GitHub has more adoption than PHP-MVC with 1.25K GitHub stars and 494 GitHub forks.
According to the StackShare community, PHP has a broader approval, being mentioned in 8910 company stacks & 2940 developers stacks; compared to PHP-MVC, which is listed in 11 company stacks and 8 developer stacks.
What is PHP?
What is PHP-MVC?
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Why do developers choose PHP-MVC?
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I chose Sqreen because it provides an out-of-the-box Security as a Service solution to protect my customer data. I get full visibility over my application security in real-time and I reduce my risk against the most common threats. My customers are happy and I don't need to spend any engineering resources or time on this. We're only alerted when our attention is required and the data that is provided helps engineering teams easily remediate vulnerabilities. The platform grows with us and will allow us to have all the right tools in place when our first security engineer joins the company. Advanced security protections against business logic threats can then be implemented.
Installation was super easy on my Node.js and Ruby apps. But Sqreen also supports Python , Java , PHP and soon Go .
It integrates well with the tools I'm using every day Slack , PagerDuty and more.
Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.
Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.
By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.
Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.
There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.