What languages are used to develop cloud applications?

There is no single ideal language for developing cloud applications, so before choosing which one to use, it's important to know the available options and understand their pros and cons—knowing the advantages and disadvantages is the first step in delivering a solution that exceeds expectations.

Cloud 03 Feb 2024 4 min read By: Skyone

There is no single ideal language for developing cloud applications , so before choosing which one to use, it's important to know the available options and understand their pros and cons—knowing the advantages and disadvantages is the first step in delivering a solution that exceeds expectations.

Structured Query Language (SQL)

When it comes to developing cloud applications that handle the analysis of large blocks of data, SQL is the preferred language for many programmers. Designed for relational database systems, SQL helps to analyze, retrieve, and update the information contained in the database.

A great example is how the growing importance and use of Big Data by companies is affecting the size of databases . The more information that needs to be processed, computed, and interpreted by machines, the larger the databases will be. The SQL language can be the ally that brings the agility you need to develop cloud applications.

Java

Many people have doubts about Java. The good news is that it's the perfect tool for developing enterprise cloud applications . Having existed for over 20 years, programmers have a vast collection of documents, libraries, and frameworks at their disposal. It's the ideal language for those who need to deal with complex transactional architectures, such as those found in e-commerce .

Java is also the language used by Android devices. Therefore, you should take this language into consideration if the Android platform is part of your distribution strategy.

Python

IaaS management software . If you intend to develop cloud applications that scale horizontally, Python is one of the best languages for that.

In other words, if you're going to work with Machine Learning , Artificial Intelligence, or Big Data, Python is the most suitable language. With a wide variety of ready-made libraries, such as PANDAS, NumPy, SciPy, and MatPlotLib, it's the preferred language for data scientists.

When analyzing the cons, we can note that Python is very difficult to scale across multiple cores on a single machine. This is due to the limitations of the Global Interpreter Lock (GIL). Another point to consider is that developers need to design specific programs with Python to make their applications run on Windows and Linux .

This does not diminish Python's popularity in any way: the demand for Python-specialized professionals is not expected to slow down in the next 5 years – that's a good bet for the future!

Ruby

Ruby is a popular language among startups , including Airbnb, GitHub, and Groupon. There are numerous libraries and web-based tools to help programmers develop cloud applications. While suitable for automation, Ruby doesn't scale well when it comes to servers and many application requests, but it can still be useful in application development.

PHP

PHP is a well-known language among application and website programmers. Facebook and WordPress are just a few of the big names in the market that use this language. Years of experience are reflected in the number of ecosystems, frameworks , and resources available to the developer community. Those wishing to develop cloud applications should keep in mind that larger projects or those without a rigid structure can become difficult to read and maintain with PHP.

Regardless of your preferred programming language, always keep in mind that your project will evolve and, consequently, scale. A well-prepared team and cutting-edge infrastructure are essential to its success.

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