Three Best Programming Languages For IoT Projects (Case Study Inside)

Three Best Programming Languages For IoT Projects (Case Study Inside)

The number of IoT devices connected to the internet are increasing every day. Ever wondered about which language do they speak?

In a survey conducted a couple of years ago, developers who write code for the Internet of Things (IoT) claimed that Java, C, and Swift were the most preferred languages.

IoT architectural environment can be divided into three major sections:

  • The sensors that create the data
  • The hubs or local gateways that organize it
  • The geographically distant, centralized servers that collect the data

So, if you are writing codes for a sensor then you are using C. Its ability to work directly with RAM makes it the first choice of hardware developers.

You can choose the IoT language the same way you choose for a desktop project. Let us see much in detail about the 4 most important languages for IoT.


Java is the most highly preferred programming language as per a survey conducted by Eclipse. This did not come as a surprise to me because it still lives up to its reputation of being “Write once, run everywhere”


It is highly preferred for IoT programming because it can be created and debugged and then transfer it into another chip using Java Virtual Machine. This means it can also function on smaller machines.

Most of the computers today comes with Java SE Embedded which allows to strip off the classes required to display information thus allowing the system to run headlessly (without a keyboard or a mouse). The communication is carried out through the network. This is a major plus when working on IoT projects and therefore Java is a highly preferred IoT programming language.

The beauty of the language lies in its adaptability. There are several open-source projects that show how Java is embedded well on chips that seem to be limited.


C is well-known for its portability. C programs written for one system can easily run on another without any modification. This is a major plus as it provides great flexibility to the IoT developers.


The language is known for its transparency and you can bend down your codes to get the best performance from an underpowered system. Every fragment of the code can be twisted. Each stack value is available. This kind of flexibility is what IoT programmers are looking for.

The syntax is cluttered with punctuation and easily feasible to make silly mistakes. But still, it is one of the most highly preferred languages for many programmers because of its ability to extend itself and availability of a large number of functions. This makes programming easier.

The modular structure of C language makes it easier to make program debugging, testing and maintenance.


Swift is used for building iOS and mac OS compatible applications. And in the recent years, it has become an integral part of the IoT stack.

If you want other electronic devices to interact with your iPhone or iPad then you will have to build your application in Swift.


And recently, Apple announced that it wants to keep iOS devices at the focal point of the home network of sensors. So, it is working on upgrading the libraries and infrastructure that can sustain a large amount of work.

These libraries will be significant for complete integration of hardware and software. It is said to be the cornerstone of HomeKit (a framework for communicating and controlling accessories in a user’s home) platform.

This will allow developers to concentrate on the details of their task and leave the integration task to HomeKit.

This makes Swift the most important language for IoT application development.

Let us look at one of the IoT applications that our talented developers have created.


Using Java and C, our team had created a mind blowing IoT application called DuoTrac. It is a virtual golf coaching mobile application.


With the help of Java and C programming, we integrated the sensors that detect the swing movements and the mobile application with unbelievable precision. It also detects club face angle and weight shift accurately.

As shown in the above image, it provides complete visual guidance and helps them with important golfing parameters such as weight shift and club face angle.


Using strong calc engine, the raw sensor data is calibrated and the users will get complete stats such as club face path, transition and weight shift. This will help them learn how much progress they have made.


So, if you are looking to build an IoT application, these languages should be on your top list. They are tried and tested by the masters. These languages provide the simplicity and sturdiness which is highly demanded by IoT applications.