AWS, Azure, Cloud Computing, Google Cloud (GCP), Internet of Things (IoT)

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Top 7 Cloud Platforms for IoT

Introduction

Internet of Things (IoT) devices has recently grown in applications such as smart cities, Agriculture, wearable, vehicle tracking, IoT retail shops, and many more. These IoT devices generate a large amount of data, which is transported to the cloud to be analyzed.

This blog will look at the market’s best IoT (Internet of Things) cloud platforms. Let’s see how the IoT device data flow would seem as an end-to-end application with distinct levels.

Architecture of an IoT System

We can segregate the IoT System into four layers: IoT device or Hardware layer, Connectivity layer, Middleware layer (Cloud services), and End-user layers. Below architecture diagram shows the different layers of IoT system architecture.

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Top 7 IoT Cloud Platforms

  1. Amazon Web Services (AWS) IoT Platform
  2. Microsoft Azure IoT
  3. Google IoT
  4. IBM Watson IoT
  5. Cisco IoT Cloud Connect
  6. ThingsBoard Open-Source IoT Platform
  7. Oracle IoT Intelligent Applications

Amazon Web Services (AWS) IoT Platform

Amazon provides a wide range of cloud IoT services, with the primary benefits being established and scalable infrastructure that can support billions of sensors and trillions of IoT data. The Amazon IoT platform can be used for various purposes, including industrial, commercial, and consumer.

Features and Services:

A broad range of IoT technologies spans the edge and the cloud, great AI interfaces for two times as fast solutions, and an incredibly flexible platform. AWS offers IoT services like AWS IoT Core, AWS IoT Device Management, AWS IoT Device Defender, FreeRTOS, AWS IoT Greengrass, AWS IoT Analytics, and AWS IoT Events.

Microsoft Azure IoT

You can choose from pre-customized working flows or design your own that are specific to your company’s requirements when using Microsoft Azure IoT solutions. The Microsoft Azure IoT Suite is flexible and includes several tools that cover every facet of IoT development and design, from connecting the device to providing decision-makers insight. The importance of security is one of its most significant benefits.

Features and Services:

Azure IoT offers features like Industry IoT environmental monitoring, maintenance planning for industrial IoT, and building in a secure manner. Azure IoT offers services like Azure IoT Central, Azure IoT Edge, Azure Times Series Insight, and Azure Digital Twins.

Google IoT

The Google IoT cloud platform was designed to gather real-time insights, store them, and then process them both in the cloud and at the edge. With ML (Machine Learning) and AI (Artificial Intelligence) platforms, you may forecast business consequences through the BigQuery multi-data cloud warehouse, where data is by default encrypted for security.

Features:

A wide range of IoT building blocks to collect important data from your mobile device, equipment performance improvement and predictive support, Asset tracking in real-time using machine learning, solutions for supply chain management and logistics, and Automation and intelligence for smart buildings and cities.

IBM Watson IoT

IBM is a fantastic example of a company utilizing cutting-edge methods for integrating artificial intelligence and the Internet of Things. With a comprehensive selection of tools and services, IBM Watson IoT allows its clients to build highly effective solutions from the beginning.

Features:

Reliable remote device control and administration, enormous cloud storage, securely transmitting data, evaluation of data in real-time, rapid display of data, Security, and risk management.

ThingsBoard Open-Source IoT Platform

ThingsBoard is a cloud-based IoT platform for managing devices, gathering, processing, and visualizing data for IoT projects.

Features:

Dependable telemetry data gathering, individualized data visualization, IoT Rule Engine, Proficient device administration, Asset administration, Multi-tenancy, A horizontal scale, Mistake Tolerance, Security, Integration and personalization, management of alarms, Microservices, and monoliths, Hybrid, SQL, and NoSQL databases.

Oracle IoT Intelligent Applications

Global software giant Oracle is regarded as a pioneer in database administration. Furthermore, Oracle stands out from rival industry competitors thanks to its extensive IoT ecosystems and cutting-edge security features.

Feature:

Intelligent manufacturing techniques to boost sales, machine monitoring through predictive maintenance, Integrated logistics to reduce costs, Occupational safety to ensure constant visibility, Monitoring services to provide a foresighted customer experience, and Possibilities for Oracle and non-Oracle apps integration.

Conclusion

Thus, we have seen the IoT system architecture and the Best IoT Cloud platforms, including the Amazon Web Services (AWS) IoT Platform, Microsoft Azure IoT, Google IoT, IBM Watson IoT, Cisco IoT Cloud Connect, and ThingsBoard Open-Source IoT Platform. Oracle IoT Intelligent Applications.

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Drop a query if you have any questions regarding IoT Cloud Platforms and I will get back to you quickly.

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FAQs

1. What are the different layers of IoT System Architecture?

ANS: – Hardware, Connectivity, Middleware layer(Cloud services), and Application layers.

2. What are the different types of devices to cloud communication protocols?

ANS: – HTTP, MQTT, AMQP, Web Sockets.

WRITTEN BY Vasanth Kumar R

Vasanth Kumar R works as a Sr. Research Associate at CloudThat. He is highly focused and passionate about learning new cutting-edge technologies including Cloud Computing, AI/ML & IoT/IIOT. He has experience with AWS and Azure Cloud Services, Embedded Software, and IoT/IIOT Development, and also worked with various sensors and actuators as well as electrical panels for Greenhouse Automation.

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