Platforms Before making any comparison, we should figure out why it’s a good idea to use an IoT platform on your project in the first place. Here are several benefits that most platforms provide.
Many IoT platforms offer fully-managed services, which means they scale up on demand and are self-maintained. You won’t need to bother how your system will adapt to the growing number of devices or data volume. As a rule, these platforms have robust resources and can either perform standard patching and upgrading on their side or provide you with services for easy over-the-air updates.
Security has always been one of the biggest challenges in IoT development. Remember the case in Las Vegas casino when hackers used a connected fish tank to get access and steal 10G of confidential data? Low-level sensor devices based on simple IoT development boards can be a weak point in an IoT system and pose a real threat to the integrity of the whole system. Therefore, overall multiple-step security is crucial. However, to implement and maintain healthy security practices over a multi-component system is not so easy.
IoT development platforms offer packaged security solutions for every layer of a system thus lifting a serious weight off the developer’s shoulders.
Convenience and simplicity
Usually, major IoT platforms like the ones we will be talking about have all the services you need in one place, from bringing your network of devices online to handling ML-based data analytics. Some providers even offer prebuilt templates for standard IoT applications, plenty of guides and developer tools as well as open-access libraries.
Often, IoT platform services are paid depending on the number of devices, messages, the volume of data processed, etc. This granular pricing model helps avoid overpaying, goes without flat fees or upfront cost. In the end, customers pay only for the services they use. Also, many platforms offer free trials and multiple free tier options to let you get a hand of some services and figure out if you want to stay or go on shopping around.
Related:- Cybersecurity Risks in Online Gaming
Best Development Platforms for IoT
Earlier, we have reviewed three best development platforms for IoT in detail – AWS IoT platform, Microsoft Azure IoT and Google Cloud IoT. You can check every review following the given links. Now, let’s put them side by side and see what each of the platforms offers for every part of IoT system development.
To connect and manage devices
One of the leading cloud providers, Amazon offers several dedicated services to connect, configure, manage and secure IoT devices. AWS IoT Core is a major service that helps connect billions of devices with each other and to the cloud and enables two-way data communication. To manage a large fleet of devices, you can use AWS IoT Device Management. This service simplifies device onboarding, monitoring and maintenance. In turn, AWS IoT Device Defender provides security and helps detect abnormalities in device behavior and address issues in time.
Azure IoT Central acts as a core service of the IoT platform from Microsoft. This service is enough to build an IoT application for a common use case, and even provides a set of templates for easy setup. Unlike AWS IoT Core, it already includes device monitoring and management tools. If you combine it with Azure IoT Hub, you can build more complex IoT applications that extend to billions of devices. You can implement a custom data infrastructure channeling metrics to different Azure services and returning commands to your fleet of devices.
To enable edge intelligence
Each of IoT software platforms provides services to enable edge intelligence given its growing importance and applications in IoT systems.
Amazon IoT Greengrass is exactly this kind of service. It allows programming local computing devices like gateways to process sensor data on the edge and send commands to act on this data immediately.
Azure IoT Edge performs similar functions in Azure-based systems and helps move part of data processing to edge Windows and Linux devices.
By the way, both Amazon IoT Greengrass and Azure IoT Edge allow running trained ML models locally. However, possibly, the most powerful offering for adding machine intelligence to the edge comes from Google.
Google offers a combo of Edge TPU chip and Cloud IoT Edge software that allows running ML models locally super-fast, super-efficiently, and adds an extra layer of security for connecting edge devices to the cloud.
To use cloud services
Probably, the best part of comparing IoT development platforms is exploring their vast capabilities for IoT data analytics, visualization and management.
For these purposes, AWS IoT provides a set of tools including:
- powerful AWS IoT Analytics for preparing data and implementing different analytics and visualizations practices;
- AWS IoT SiteWise tool for industrial IoT applications focused on working with heterogeneous equipment data;
- AWS IoT Events service to define events and efficiently act on them.
Azure Times Series Insights is a complex of data analytics and visualization tools from Microsoft. Initially, it filters and prepares IoT data depending on its purpose. When prepped, the data can be used for analytics and building custom visualizations or redirected to other services, for example, Azure Machine Learning. Azure Times Series Insights can also be integrated with Power BI which is convenient for the many companies that already use this service.
Google Cloud IoT provides a range of its own services for data analytics and visualization. Among them are:
- Cloud Functions to configure devices to act on certain events;
- Dataflow to process streaming data in real-time;
- BigTable to store large huge volume of data;
- BigQuery to quickly pull out data insights;
- DataStudio to visualize data insights pulled out from BigQuery data warehouse;
- DataLab to develop custom data analytics practices and visualizations.
It would be hard to compare the major IoT development platforms when all of them basically cover all bases and provide similar services. However, there’re always some perks that define certain benefits of each platform.
AWS IoT Platform
In the case of AWS IoT, it would be the simplicity of building a standard IoT application and integrating it into an existing business process. One of the platform’s services is a drag-and-drop tool for building IoT applications – AWS IoT Things Graph. It offers a convenient interface to connect and configure devices and different web services. On top of that, it has a range of prebuilt models for popular applications like agricultural software for soil monitoring, etc.