The best programming languages for the backend

01.08.2023

by Meike Müller

E-Commerce

Are you still looking for a programming language that you can use for the backend of your planned programming project? Then you've come to the right place, because we'll introduce you to eight different backend languages and their advantages. Hopefully, you will quickly find the right development language for your application.

You can expect the following content in this blog post:

What programming language types are there?
The application backend
How can you decide which backend programming language makes sense for your project?
The best backend programming languages in comparison
1. PHP
2. Go or Golang
3. Python
4. Kotlin
5. Elixir
6. Scala
7. JavaScript with Node.js
8. C#
Our conclusion
FAQ: Questions and answers about the backend programming languages

What types of programming languages are there?

Programming languages exist for many different purposes and can be used in different areas. For a better overview, let's first introduce you to the most common types of programming languages:

High-level languages: High-level languages are the general programming languages for developing software applications. These include Ruby and JavaScript, for example.
Scripting languages: So-called scripting languages can be used to automate tasks and execute scripts. They are used, for example, in data analysis, server administration and web development. Scripting languages include Perl, PHP, and PowerShell, among others.
Database languages: Database languages are used to access databases. In this way, it is also possible to interact with the database. The most commonly used database language is SQL (Structured Query Language). In addition, there are also the database languages PL/SQL (Oracle), T-SQL (Microsoft SQL Server) and PostgreSQL.
Markup languages: Another type of programming language is the markup language. This type of programming language is used to specify the appearance and structure of documents. Markup languages include HTML and XML, for example.
Object-oriented languages: languages that are object-oriented model code around objects that combine data and behavior. Java, Python, and Ruby are object-oriented languages.
Functional languages: Immutability of data plays a major role in functional languages. They are based on the mathematical concept of functions. Functional languages include Lisp and Haskell.
Domain-specific languages: These languages are also called DSLs and were developed for very specific application domains so that they can address individual cases. Here it is also possible to work on a higher level of abstraction. Regular Expressions (RegEx) for text pattern recognition and MATLAB for numerical calculations, for example, are such DSLs.

Backend languages, by the way, can be classified as high-level languages. This is because the backend is where the part of the software application is developed that is important for interacting with systems or databases and processing data.

The application backend

The application backend is actually just the backend of your application. This part of your application architecture handles the processing of data. In addition, communication with third party services also originates here. The users of your application will not get to know this part, they will only use the frontend. Meanwhile, the backend provides the necessary functions for the application to be used in the frontend and then also processes the requested actions.

The backend usually runs on a cloud platform or on a web server. Depending on the application and preferences, the backend can be used in different programming languages. Which backend languages there are and which are the best ones, we will present to you in a moment. But for this it is also important that you know which tasks are done with the backend. The main tasks of the backend include:

Data processing: Data is processed and stored in the backend. Data processing tasks also include data validation, data cleansing, and data manipulation.
External communication: Communication with other services can also be established via the back end. So-called application programming interfaces (APIs) are used for this purpose.
Business logic: With the backend you can define which operations are allowed, how they should be executed and how data should be processed. Here you define the business rules of the application.
Performance optimization: You can also optimize the performance of your application in the backend. For example, response times are improved with caching techniques.
Security: Authentication mechanisms can also be managed in the backend. You can include here that encryption is used to protect you from attacks on the application.
Error log: In the backend, you can also find the errors that may occur during execution. The errors are recorded in an error log so that you can fix and analyze them.
Create frontend functions: Another function of the backend is that here you can provide all the data and functionalities for the frontend and create the user interface.

How can you decide which backend programming language makes sense for your project?

Maybe you are planning a project and want to know which backend language is best for it. You may also want to learn a new backend language and want to know which one works well for a variety of projects. Or you already know a programming language and want to know what applications you can create with it. In each of these cases, our article can help you. However, if you are at the first point and have a concrete idea for a project without knowing which programming language is suitable for the backend, here are some points that can help you in your planning phase:

The specific requirements of your project: first of all, you should think about what requirements your project has to meet. This will help you determine what functions and tasks your backend will need to perform. You can also determine here if you need to scale your project in the future. If so, you can see with which backend language this works best. In addition, it is also worth considering whether you need or might need special integrations as well as libraries.
The skills in your team and/or your own knowledge: When deciding which programming language is suitable for the backend of your project, it's worth looking at the skills you already have or that are represented in your team. Perhaps well-known programming languages can also be used for your project, giving you the opportunity to start right away and save resources. It's also likely to make your team work more productively and efficiently.
Scaling and performance: While we mentioned in the first point that you need to consider whether your project needs to be scalable, you should also think about this in more detail. Estimate how high the expected user volume is and also how high the performance requirements of your project will be. Some programming languages and frameworks offer better support for scalability and performance than others.
The community of the programming language: Another factor that can be crucial is the size and activity of the community of the selected backend language. This is because a large and active community also means that you can seek better help in case of problems. In addition, there are usually better libraries, resources and frameworks.
Tools and more: Also check if there are enough libraries, frameworks and tools that can help you with the development of your project. You can usually improve your productivity and the quality of your programming significantly.

You must remember that choosing a programming language for your backend is a long-term, if not final, decision. Once you have chosen one, you cannot simply use another backend language for your project. However, depending on your project, you may have the option to use multiple languages for different parts of your backend. It is recommended that you thoroughly consider the choice and analyze all the mentioned points in detail.

Comparison of the best backend programming languages

In order for you to know which backend languages you can choose for your project at all, we would like to introduce you to the best programming languages for the backend first. With the criteria from above, you can then check whether the programming language is also suitable for the backend of your project or which backend language is the best choice. Overall, we will look at the languages PHP, Golang, Python, Kotlin, Elixir, Scala, JavaScript with Node.js and C#. If you want to learn about other programming languages that are suitable in the context of web development, check out our post on the best web development languages!

PHP

The programming language PHP or Hypertext Preprocesssor is mainly used in the field of web development. Especially in the area of the backend PHP is used. Furthermore, it is versatile because programs coded on PHP can also run on any browser and any operating system.

There are also some very well-known frameworks for PHP. Frameworks are ready-made software components or structures that can be used by developers. Popular PHP frameworks include Laravel and Symphony. Symphony is also used by Shopware for the store system. For this reason, the developers at EXWE are also very familiar with PHP. If you have any questions, please feel free to contact us!

The advantages of PHP as a backend language:
Simple syntax: A big advantage of PHP is that the programming language has a simple syntax. Therefore PHP is comparatively intuitive and easy to learn. The development and maintenance of programs with PHP is thus often not so complicated. Many resources, documentation and support from the developer community: PHP has a very large developer community, which can also be an advantage for you. This also means that there are many tips and tutorials, as well as documentation, forums and support from other developers. This way, problems with the development of your project will be solved faster. Extensive frameworks and libraries: There is a large ecosystem of libraries and development tools around PHP. In PHP, there is a wide range of frameworks through Laravel, Symfony and CodeIgniter, for example. This also means that they are getting better and better, as they are also in competition with each other. With the frameworks of PHP, you get, for example, a structured and organized development environment. Platform independence: PHP runs on different platforms such as Windows, Linux, macOS, etc.. This gives you the possibility to develop platform-independent applications for the web. Integration: When using PHP, you can use seamless integrations with various databases such as MySQL, PostgreSQL, Oracle, etc. High security: PHP can be used very securely if you apply known security practices. There are also a variety of security features and tools that can help you identify and fix vulnerabilities in your program. Good scalability: The PHP backend language is perfect for scaling from small to large applications. It can also handle high user loads. Support for various protocols and APIs: PHP offers support for various protocols and APIs, including HTTP, XML, JSON, SOAP, and more. This enables integration with external services and development of web services

Golang

Golang or Go is a programming language developed by Google. It is becoming increasingly popular as it is ideally suited for scalable network services as well as cluster and cloud computing. It is now widely used for the backend, especially when developing software and real-time applications. Good examples of the use of Go as a backend language are online games, video conferencing applications, community storage solutions as well as embedded software systems and chat messaging applications.

The advantages of Golang as a backend language:
High speed: Go is known for its speed. Especially when compiling projects, the efficiency of the programming language becomes apparent. Go can also function well for application-intensive tasks and scalable systems. With good compilation, you can achieve better performance with Go. A compact syntax: The syntax of Go is not particularly heavy. It was created compactly so that it is easy to read and learn. This, in turn, ensures high efficiency in backend development. Extensive standard library: Go is popular with many developers because the programming language has an extensive standard library. This includes, for example, a functional web server. Static typing: Go is a statically typed language, which means that variables and functions are checked for their types before the code is executed. This can help detect potential errors in your system early on. You can also improve code quality this way.

Python

Python has been around since 1991 and is one of the most popular programming languages. Python is also very suitable for the backend, as the language offers a clean and also simple development environment. Python frameworks, for example, can be used to create web applications quite quickly.

The advantages of Python as a backend language:
The simple syntax: Python has a simple syntax that is similar to the English language. Therefore, it is also easy to read and can be used well to write code quickly. Teamwork on a project is also easier with Python than with other programming languages. Large community: Python is known for its large community. It is active and engaged, so there are many frameworks and libraries that can make your development much easier. Libraries for tasks such as database access, web development, artificial intelligence (AI), and machine learning (ML) can be leveraged when you use Python for your backend. Platform independence: Another advantage of Python is the programming language's platform independence. For example, it runs on Windows, macOS, and Linux. This enables portability of backend systems and simplifies deployment on different servers. Fast editability: Python has fast editability due to the simplicity of the language. For this reason, development is also fast and efficient. Versatility: Python is also known as a versatile language because it is highly compatible and allows cross-platform development of application. Thus, the programming language can be used for developing web applications, APIs, data processing scripts, task automation scripts, scientific calculations, machine learning and much more. Python Integrations: For Python, there are many interfaces to various databases, web frameworks like Django and Flask, messaging systems and much more. So you can extend your backend without much hassle and problems.

Kotlin

In Android Studio you can find the backend language Kotlin. Originally Kotlin was created for Android development. But now it is more and more used as a backend language. In addition, Kotlin was developed to work seamlessly with Java. This allows existing Java code to be reused in Kotlin and vice versa. This enables a gradual migration from Java to Kotlin in existing backend systems. But Kotlin can also be the perfect choice for reprogramming an application.

The advantages of Kotlin as a backend language:
Kotlin's expressive syntax: The first advantage that Kotlin brings is its expressive syntax, which is both modern and short. This makes development simple and the code very easy to read. This in turn ensures high productivity. Extensibility: Extending classes in Kotlin is simple. If you want to add new features to the classes, then you don't have to change the original source code. This promotes code reusability and extensibility. Sophisticatedtooling and integration: Kotlin has a well-developed tooling support. For example, there is strong integration with development environments like IntelliJ IDEA, Android Studio, and Eclipse, and also integrations with build tools like Gradle and Maven, which can simplify the build process. Large developer ecosystem around Kotlin: Kotlin's ecosystem is extensive. There are now many libraries, frameworks, and tools created specifically for Kotlin development. The community around Kotlin is also very active. Android compatibility: since Kotlin was created specifically for Android development, you can share the code between the Android app and the backend, increasing your development efficiency.

Elixir

The Elixir functional programming language was developed by José Valim in 2011 and is based on the Erlang virtual machine (BEAM). The language can be used in the backend mainly in areas such as web development, IoT applications, real-time communication and financial technology.

The advantages of Elixir as a backend language:
Performance and power: Elixir has high scalability. This is because it is based on the Erlang Virtual Machine (BEAM). In addition, Elixir is also robust and has high performance. Fault tolerance: Elixir also has high fault tolerance. The Erlang Virtual Machine can quickly detect and fix errors. In addition, all other functions of the system can continue to run smoothly. Functional programming: Since Elixir is a functional programming language, you can benefit from the advantages of functional programming. These include data structures, pattern matching, functional composition and recursive functions. With these concepts, you can easily create, test, and debug clean code. Extensibility: With Elixir, you can easily extend applications with more features. The community around Elixir has already developed many libraries, frameworks and tools. Very popular for users of Elixir is the framework Phoenix. Erlang integration: Since Elixir is very closely linked to Erlang, you can easily integrate Erlang code that already exists. This is also beneficial because you can also access the Erlang ecosystem. This has already proven its worth. Comprehensibility and productivity: The Elixir programming language has a syntax inspired by the Ruby language. It is modern and easy to understand because there are few language elements.

Scala

Scala is an object-oriented programming language that is very precise and therefore requires little code, unlike other general-purpose languages such as Java. The Scala programming language has been around since 2004 and since then it has been used for many different use cases such as web development, software systems, big data analytics, scientific applications and much more.

The advantages of Scala as a backend language:
Scalability: Scala got its name because it is particularly scalable or supports scalable applications was developed from the beginning to support scalable applications. With Scala, it is possible for developers to create efficient and high-performance backend systems that can easily handle growing requirements. Expressive syntax: The syntax of the Scala language is inspired by Java and ML By combining functional and object-oriented programming paradigms, the syntax is also highly expressive. Scala and its interoperability with Java: Scala runs on the Java Virtual Machine (JVM) and can therefore be used with Java libraries and frameworks. This is a big advantage for you if you use the programming language, as it allows you to benefit from the rich Java ecosystem. Type safety of Scala: With Scala static type checking is possible, so that errors can be detected quickly at compiler time. This also makes it easier for you to maintain your code. Functional programming: Scala supports functional programming, which simplifies the creation of scalable and concurrent backends. The use of immutable data structures and higher order functions makes it easier to write parallel and concurrent code. This is especially beneficial in a world where distributed systems and asynchronous processing are becoming increasingly important. Extensibility: Scala allows developers to create their own DSLs (Domain Specific Languages) to improve the readability and expressiveness of their code. This language extensibility capability allows developers to customize specific use cases and find more efficient solutions to specific problems.

Javascript with Node.js

Javascript, originally created in 1995 for front-end development, has evolved into a good back-end language with the introduction of Node.js in 2009. Node.js enables server-side execution of Javascript, allowing developers to use Javascript for server-side and client-side scripts. The widely used Express.js framework, introduced in 2010, extends Node.js with helpful tools to simplify the creation of web applications.

The advantages of JavaScript with Node.js as the backend language:
Unified language: one advantage is that javascript can be used on both the client side and the server side. This allows for a uniform code base and makes it easier for you to develop full-stack applications, since you don't have to switch between different languages. High scalability: Node.js uses an event-driven, non-blocking I/O model that enables high scalability. This makes JavaScript with Node.js perfect for high-traffic applications such as chat applications, real-time communications, and streaming services. If you want to develop such an application, then Javascript with Node.js is your perfect choice. Large module variety: Another advantage is the large number of open source modules available through the Node Package Manager (npm). This gives you easy access to a wide range of functions and libraries that you can integrate into your applications. This can shorten your development time and increase productivity. Fast development: Javascript is a relatively simple and flexible language that can be learned quickly. Since Javascript is already used by many frontend developers, they can transfer their knowledge and skills to backend development with Node.js. This leads to accelerated development time and seamless collaboration between frontend and backend teams. So if you or your developers have already worked with javascript on the frontend, applying it to the backend is very easy. Code reuse: Using Javascript on both the client and server side allows for code reuse. Functions, modules, and validation logic can be shared between front-end and back-end parts of the application, which improves maintainability and extensibility. Active community: Node.js has a large and active developer community. As a result, there is a wealth of resources, tutorials, tools, and support available to you. The community also contributes to the constant evolution of Node.js by developing new modules and frameworks that further improve the development process. If you have problems developing with Javascript in combination with Node.js, you can either find an answer in tutorials and documentation or contact the community.

C# as a backend language

C# is a versatile backend language developed by Microsoft and first introduced in 2000 with the release of .NET Framework. It is an object-oriented language that is mainly used to develop powerful and scalable backend applications. C# allows you to build web applications, RESTful APIs, microservices, cloud applications, and other server-side solutions. Thanks to its robust type safety, efficient resource management, and extensive standard libraries, C# is a popular choice for developing sophisticated and reliable backend systems in software development. So, should you want to develop a software, you should definitely include C# in your shortlist for the backend.

The advantages of C# as a backend language:
Strong typing and rigor: C# is a strongly typed language that is statically checked during compilation. This leads to more robust code and fewer errors at runtime. The language also provides you with a set of strict rules and best practices that help you write high-quality and maintainable code. Extensive standard library: Since C# is supported by the .NET Framework platform, there is also an extensive standard library that you can use. This library contains a wide range of functions and classes for backend system development, including database access, network communication, security, cryptography, and more. The big advantage of this is that you can significantly reduce the development time of your project. Platform Independence: With the introduction of .NET Core and the newer version .NET 5, C# is now cross-platform. This means that C#-based backends can run on different operating systems such as Windows, Linux, and macOS. This gives you great flexibility and you can easily deploy the application on different platforms. Good integration with Microsoft technologies: Since C# is developed by Microsoft and hence it is closely linked with Microsoft technologies and platforms, you can seamlessly integrate all Microsoft products like SQL Server, Azure Cloud Services, SharePoint and others. This allows developers to use C# to build complete solutions on the Microsoft platform. Parallel programming support: C# provides built-in features to support parallel programming, such as the Task Parallel Library (TPL). This allows you to create efficient and powerful backends more easily. These can then execute multiple tasks simultaneously. This also allows your backend system to take advantage of modern multi-core processors for improved scalability and performance. Large developer community: C# has a large and active developer community that provides a wealth of resources, tutorials, forums, and libraries. The extensive community support makes it easier for you to find help, solve problems, and discover best practices. This also promotes knowledge sharing and accelerates the development of C#-based backends.

Our conclusion

Choosing the right backend programming language can be a challenge due to the variety of options, as each offers its individual advantages. Your previous experience, the development goal and the required scalability are just a few aspects you should consider. However, if you understand the specific requirements of your project, you can effectively choose the appropriate language. Remember that you are not alone in this process - we, the experts at EXWE are available to advise you on this important decision. Together we will find the optimal solution for your backend.

FAQ: Questions and answers about backend languages

To conclude our backend language comparison, we will answer a few questions that might be of interest to you about programming languages and the backend. If you still have questions that we haven't answered yet, feel free to contact us. We will be happy to help you with your questions about backend languages and development in general.

Which programming language has a future?

It is difficult to predict exactly which programming language will be the most successful in the future. The technology field is constantly evolving, and new languages and frameworks emerge while others gain popularity or lose relevance. However, there are some programming languages that are currently strong and have promising future prospects:
- Python: Python has gained a lot of popularity in recent years and is widely used in various fields such as web development, data science, artificial intelligence and machine learning due to its simplicity, readability and versatility. Python has a large and active community that continuously develops new libraries and frameworks, which further strengthens its future prospects.
- JavaScript: JavaScript is the language used for developing interactive websites and web applications. It is the most widely used language in the frontend and is also increasingly used in the backend with Node.js. The evolution of JavaScript and the use of frameworks such as React, Angular, and Vue.js contribute to the popularity and future viability of this language.
- TypeScript: TypeScript is a language developed by Microsoft that is an extension of JavaScript. It adds static typing to enable better code quality, error detection, and tool support. Because of its advantages, TypeScript is becoming increasingly popular, especially for larger projects. It is used closely with JavaScript frameworks like Angular and has a promising future.
- Go: Go (also known as Golang) was developed by Google and is characterized by its simple syntax, efficiency, and good support for concurrent programming. Go is widely used for server-side applications, cloud applications, and tools. Due to its performance and increasing acceptance in the developer community, Go has good prospects for the future.
- Kotlin: Kotlin is a modern programming language designed for Android app development. It has quickly established itself as a popular alternative to Java because it is more functional, secure, and productive. Kotlin can also be used for backend development with the Ktor framework. Given the rising popularity of Android and the increasing use of Kotlin, this language will have a promising future.
What are the backends?

There are different types of backends that can be used depending on the type of application and the requirements of the project. Here are some common examples:
- Web backend: a web backend is responsible for processing web applications. It receives HTTP requests from the front end, processes them, and returns the appropriate responses. Web backends are often developed using web frameworks such as Django (Python), Ruby on Rails (Ruby), Node.js (JavaScript), ASP.NET (C#), etc.
- Mobile backend: A mobile backend supports the development of mobile applications. It provides features like user authentication, data processing, push notifications, third-party service integration, etc. Mobile backends can be built using platforms such as Firebase, Parse, or homegrown solutions.
- API backend: An application programming interface (API) backend is used to make data and functions available to other applications through a defined interface. It enables communication and integration with other systems and services. API backends are often developed with RESTful APIs, GraphQL or SOAP.
- Cloud backend: A cloud backend is based on cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, or IBM Cloud. It uses the infrastructure and services of these platforms to provide scalability, storage, data processing, databases, security, and other functions.
- IoT backend: An Internet of Things (IoT) backend enables the connection and control of IoT devices. It processes data sent by devices, manages device registration, monitoring and control, stores data, and enables integration with other systems.
- Enterprise backend: An enterprise backend supports large enterprise applications and systems. It provides functions such as data management, user management, business logic, integration with enterprise resources, analytics, reporting, etc.
What is the "most powerful" programming language?

It is difficult to label a particular programming language as the "most powerful", as this depends on various factors and can also be a subjective assessment. The power of a programming language depends on its expressiveness, flexibility, the range of libraries and frameworks available, and its ability to solve complex problems efficiently. For example, the PYPL (PopularitY of Programming Language) index is a metric that measures the popularity of programming languages based on search engine queries. It is also important to note that the PYPL index is only an indicator and does not necessarily reflect the "power" of a programming language.
What is a runtime environment?

A runtime environment is the environment in which a software program works during its execution. It provides the necessary resources, services, and runtime libraries required for the program to execute correctly. The runtime environment typically includes the execution environment, runtime libraries, a virtual machine (if any), and runtime data.

The execution environment is the core of the runtime environment and provides the framework for executing the program. It provides functions for managing processes, threads, memory, and other resources.

Runtime libraries are collections of code used at runtime to provide specific functions. They can cover common tasks such as input/output, file management, network communication, graphics, mathematical operations, and more. Runtime libraries provide developers with an interface to access these functions and incorporate them into their applications.

In some runtime environments, a virtual machine (VM) is used to run the program code. The VM interprets or compiles the source code of the program and then executes it. Examples of virtual machines include the Java Virtual Machine (JVM) for Java programs and the Common Language Runtime (CLR) for applications developed in C# or other .NET languages.

The runtime environment also manages data needed during program execution, such as configuration files, log files, temporary data, and other artifacts.

The runtime environment is specific to a programming language or platform. Each programming language has its own runtime environment that provides specific functions and services. Examples of well-known runtime environments include the Java Runtime Environment (JRE) for Java applications, the .NET Framework for C# applications, the Node.js runtime environment for JavaScript, and the Python runtime environment for Python applications.

Using a runtime environment enables greater portability of applications because it can operate independently of the underlying hardware or operating system. Developers can focus on deploying the source code and runtime environment without worrying about the details of the underlying platform.
What is tiobe?

Tiobe stands for "The Importance of Being Earnest" and is a company that specializes in evaluating and analyzing the popularity of programming languages. Tiobe's best-known indicator is the Tiobe Index, which is published monthly. The Tiobe Index is based on various criteria, such as the number of searches for a particular programming language in search engines, the number of lines of code written, the number of job postings seeking knowledge of a programming language, and other factors.

The Tiobe index is intended to provide an overview of the popularity and trend of programming languages. It is often used by developers, businesses, and educational institutions as a guide when deciding which programming language to use. The Tiobe index lists the 20 most popular programming languages and shows changes from the previous year or previous years.
What is bytecode?

Bytecode is an intermediate form of code used by programming languages that run on virtual machines. Instead of being compiled directly into machine code, the program is compiled into bytecode. This bytecode allows programs to interact on different platforms because the virtual machine executes the bytecode and communicates with the operating system. Because the bytecode is understood by the virtual machine, a program that is programmed once can run on different operating systems without having to be rewritten for each platform.
What is MongoDB?

MongoDB is a document-oriented NoSQL database designed to store large amounts of unstructured or semi-structured data. It implements the JSON-like document model, where data is organized into flexible, hierarchical structures with different data types. This allows developers to easily model complex data structures without having to predefine a rigid schema. MongoDB reduces the complexity of database queries by providing efficient indexing and a powerful query language to retrieve data quickly and at scale. These features make MongoDB popular for modern applications with changing requirements and large data sets.

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Meike

from 01.08.2023

Hello, my name is Meike. I take care of the EXWE back office and am responsible for our social media channels. All of our articles are meant to make your life easier and help you make decisions. Nevertheless, it can happen that something remains unclear, so: If you have questions about this article you can easily reach me at +49 231 93149827.

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