Choosing the Best IoT Cloud Platform

The IoT device enclosure, hardware user interface, etc., are elements that require the focus of both your engineering and industrial design teams. Examples of IoT connectivity platforms include Curiosity by Sprint, Jasper by Cisco, IoT Accelerator by Ericsson, and Pelion by ARM. Connectivity is an integral part of the IoT technology stack, linking on-the-ground IoT devices to the Cloud or any other big data repository.

What is the best platform for IoT

Your focus should be to create quick prototypes you can share with your potential customers and iterate as quickly as possible. This is the perfect time to leverage full off-the-shelf hardware components to build your prototypes. For example, many of these IoT devices rely on cellular technologies like 4G, 5G, or NB-IoT. The goal of an IoT platform is to provide all the generic functionality for your application so you can focus on building features that differentiate your product and add value for your customers.

# Amazon AWS IoT Core

It provides support for HTTP, lightweight communication protocol, and MQTT. Known as the cloud IoT platform with MATLAB analytics, ThingSpeak allows you to aggregate, analyze, and visualize live data streams. From there, you create instant visualizations and can send alerts using web services. Essentially, however, you write and execute MATLAB code to do your data preparation, visualization tasks, and analyses.

What is the best platform for IoT

Plus, you don’t require a router; flutter boards can interact with each other quickly. Multi-realms multi-tenant solution, combined with account management and identity service. Edge Gateway solution to connect multiple instances with a central management instance.

What is the relationship between IoT and cloud computing?

The growth in the use of IoT devices is changing lifestyles, personal health, habits, the environment, and industries across different sectors. IoT enables the capture of physical data and applying separate analytics based on the collected data. IoT has made life very easy in various fields, such as Healthcare, Industrial Sector, Home Automation, Environmental Monitoring, and Retail. Due to the flexibility cloud infrastructures bring to corporate operations, businesses rely on them more and more.

What is the best platform for IoT

AWS continues to develop new services targeted towards the needs of different areas of IoT. Depending on the industry your devices serve you may want to keep an eye out for continuednew releasesthat suit your use case. It’s impossible to have a single set of criteria for every possible IoT project. When selecting the best IoT cloud platform for your project you should ask yourself some questions about the requirements you have and the direction your project will go. It’s possible the requirements you have today may not be the same requirements you’ll have in the future.

How to select the right IoT platform?

Thinger offers a rapidly-scaling cloud infrastructure for connecting millions of IoT devices. You can combine them by integrating them with your project that utilizes REST API or manage them swiftly by running the admin console. Thinger’s main aim is to enable companies to help build IoT products.

What is the best platform for IoT

What are the security, scalability, and reliability requirements of your project? By answering these questions, you can narrow down your options and focus on the platforms that meet your criteria. Kaa is a production-ready, flexible, multi-purpose middleware platform for establishing end-to-end IoT solutions, connected applications, and smart devices. It gives a comprehensive way of carrying out effective communication, deals with, and interoperation capabilities in connected and intelligent devices.


Its innovative approach to cloud computing and data management is a big reason so many people use it. The cloud-based platform is meant to help with smart production, connected assets, connected logistics, and initiatives to make the workplace safer. It makes it possible for data to be displayed, mapped, and automated in real time. It is one of the most flexible IoT app development and device management platforms. It comes with a variety of features such as data analysis, configuration management, data collection, data visualization, and so on. It gives you complete control over the IoT devices, and you can choose to host Kaa wherever you like, from the public cloud to cloud premises.

While AWS does largely have feature parity with Microsoft Azure, the customizations required to do more complex provisioning processes do require learning to use additional services like AWS Lambda. Whereas, in the Azure world, you can rely heavily on the Azure Device Provisioning Service to do some heavy lifting. Overall, IoT developers might find the learning curve slightly steeper with AWS than Azure. With the most popular IoT Cloud Platforms, one of the key drawbacks is simply finding the engineering talent required to develop the robust, secure, and feature-rich applications you want. In order to develop a basic framework of MVC 6.0 application on .NET Core 1.0, businesses need technical support which is not easily available.

Choosing the right IoT platform

MQTT, DDS, AMQP, Bluetooth, ZigBee, WiFi, cellular, LoRaWAN, and other prevalent connection protocols and standards for the Internet of Things are just a few examples. Most of the Cloud platforms already include analysis tools, which may be enough for many applications. For this stage, you can also leverage hardware components like Arduino, Beagle iot platform Bone, Raspberry Pi, or the OEM version of CompactRIO as the core of your device. Your hardware engineering team can use these building blocks as part of your own custom hardware to create a semi-custom IoT device. Protocol agents like HTTP REST or MQTT to connect your IoT devices, gateways, or data services or build a missing vendor-specific API.

  • Also, it notifies you with updates regarding the attributes or any event which is occurring.
  • It’s helpful because it shows how the backend software stores and uses data.
  • This platform uses two engines, IRI CoSort and Hadoop, to process Big Data.
  • It’s equipped with multiple features for reliable delivery, routing, and federation to cater to extensible business requirements beyond the throughput.
  • Therefore, choosing a right IoT platform is a big responsibility, as there are over 100+ IoT Platforms available in the market with diverse features and at various levels of maturity.
  • Particle is being utilized by the Opti for the training purpose of the weather casting product.