Each backend programming language has its own advantages. They have their own upsides and drawbacks. All programming language are uncommon, the catch is to find the one that best obliges your business needs.
There is no doubt that the flood of front-end technologies gained a lot of attention and traction in the previous years. Thanks to the fuel i.e. backend programming languages, who have always been the enablers for the frontend experience. Let alone it be performance, database interactions, or setting the logic of the application/program, backend deserves as much attention as we give to the frontend.
From a learner’s perspective if you want to learn and upgrade your skills, this is definitely the best way to aim in the right direction. As a programmer, learning or upgrading on these languages is important for your career since their demand has been rising significantly.
Looking from a business perspective, having a clear understanding of what your business needs are, how complex your project is, and what are the most important requirements for your business protocols. Every backend programming language has its own perks. They have their own upsides and downsides. All programming languages are different, the catch is to find the one that best fits your business needs. It is vital that you consult an expert once you jot down on the language for your backend needs. You can get in touch with a PHP, Java or ..NET Core development company in order to put the jigsaw pieces in place.
A vast number of websites across the world wide web use PHP as their backend language. It tops the list always in popular programming languages. You will see that PHP is maintained by a very active open source community and seamlessly works cross-platform across UNIX, Mac and Windows.
Yet another open source language that turned out to be one of the most popular and important languages for developers and businesses alike. The rising popularity of Python has made it an essential programming language to learn. Also businesses who are actively involved in data analytics and machine learning find Python as the ultimate boon.
Even though some developers may find that the Ruby on Rails framework has a slightly long learning curve, it is still essential to give it a go as it is one of the most robust programming languages out there. The language has an active community of supporting developers and great documentation with impressive open source dependencies, making it one of the best programming languages for backend development. The code is simple and expansive, a great relief even for complex projects.
Java has been around for a long time now and it has been such for all the good reasons. It is a multipurpose programming language which is used for desktop, web, and Android development. Regardless of the new languages coming in, one cannot ignore the importance of Java. You will get numerous frameworks around you today that are based on Java.
This is a C-like language which scores high in terms of versatility when it comes developing strong backend framework. Though it is relatively new compared to C, it is still faster and quite safer in comparison to C/C++.
.NET is an entire ecosystem made for robust software development. It was created by Microsoft in the late 90s which initially started with .NET framework and eventually transformed it into a highly developed platform with other frameworks and tools including .NET Core, .NET Standard, and Xamarin.
When it come to frameworks for backend programming languages, C# language has the most versatile framework construction; it is a part of Dot Net Core framework. Also, it is a widely used programming language today across the backend diaspora.
C# again is developed and maintained by Microsoft. Another reason why it so popular among developers and enterprises alike. The language has a vast number of features due to which it is seamless for beginners to learn this language.
Choosing the best backend language for your web application involves a plethora of factors to be considered. What works for one may not work for others. Hence, you should consider factors like cost, type of project, complexity etc.