1. AWS Cloud Platform
AWS is a subsidiary of Amazon providing cloud platforms and APIs.
However, Amazon made it much easier to collect data from sensors and Internet-connected devices by the AWS Platform. They help you to collect and send data to the cloud and study them and manage devices so easily.
What is Amazon IoT?
AWS IoT is a managed cloud platform with cloud applications and other devices Also. Thus, AWS IoT can support billions of devices of data and can process and route those messages to AWS endpoints and other devices reliably and securely. With AWS IoT, you can also keep track of and communicate with your devices.
Flow Diagram Of AWS IoT
Service Provided by AWS
Amazon FreeRTOS
FreeRTOS is a real-time operating system for microcontrollers and the user also can easily program, deploy, secure, connect, and manage. This service is particularly for microcontrollers and it is open-source.
AWS Greengrass
AWS Greengrass provides a very secure facility and runs using edge computing techniques so devices act as if they are operating locally even using cloud service. Greengrass is a software that performs functions such that the connected devices will run AWS Lambda functions, & also keep device data in synchronization, and communicate with different devices firmly.
AWS IoT Device Management
IoT Device Management is a service that is easy to organize and can remotely manage IoT devices, it also helps us to access our IoT securely and helps us monitor.
AWS IoT Device Defender
Thus, its IoT Device Defender is a managed service that helps to provide a secure user fleet of IoT devices.
AWS IoT Analytics
However, its IoT Analytics is a service that provides easy run analytics on IoT data.
AWS IoT 1-Click
Now, the IoT 1-Click is a service that thus triggers AWS Lambda functions which execute a particular action
AWS IoT Button
Amazon Dash Button is also supported by the programming button which is AWS IoT Button. This simple Wi-Fi device is used to tack and designed for developers to started with AWS IoT Core, AWS Lambda, Amazon DynamoDB, Amazon SNS, and many other Amazon internet services while not writing device-specific code.
Features of AWS
- It provides a good GUI for IoT applications.
- Hence, it helps us to test the functioning of devices and you can create custom applications that communicate with your IoT devices and send data to the cloud server.
Drawback
- Sometimes the server hangs and thus not able to send data to the cloud.
- The cost could also be improved.
Click here to know more about Aws.
2. Microsoft Azure IoT Platform
Microsoft Azure provides however multiple services for IoT solutions. Therefore, It enhances your productivity by some pre-build analysis.
What is Azure Internet of Things (IoT)?
The Microsoft Azure IoT is a cloud service that remotely monitors, and control IoT devices. so to put in simple terms an IoT solution is made up of one or more IoT devices that communicate with one or more back-end services hosted in the cloud.
Services Provided By Microsoft Azure
- Microsoft Azure IoT Edge
- The IoT Edge also runs on each IoT Edge device to make it faster, manages and deployes it to each device.
- A cloud-based interface that enables you to remotely monitor and also make changes to IoT Edge devices as per the requirement.
- Microsoft Azure IoT Hub
- Build your IoT application with a bidirectional way of communication
- It is also highly secure communication between IoT applications and devices. Microsoft Azure IoT Hub also provides a cloud-hosted solution back end to connect any device virtually.
- Microsoft Azure IoT Central
- Azure IoT Central is an app platform that connects you with devices.
- Azure IoT Suite provides features like:
- Easy Device Registry.
- Dashboards and visualization
- Real-time streaming
- Low cost
Drawback:
- Requires management
- Expensive
- No support for bugs
Click here to know more about Microsoft Azure.
3. Google Cloud Platform
The Google Cloud IoT platform is thus used for connecting, processing, analyzing data on the cloud. The platform includes scalability and managed cloud services. The platform supports a variety of embedded operating systems that work with Debian Linux OS, providing immediate turnkey support for leading device manufacturers such as Intel and Microchip.
Basic Architecture Of Google IoT Cloud
Features:
- It can make the prediction automatically when the equipment needs servicing.
- Real-time tracking of assets tracks valuable assets in real-time and performs the complex analysis.
- Improved efficiency
- Provides AI-intelligence
Drawbacks:
- Poor documentation and broken SDKs.
Click here to know more about Google Cloud.
4. Salesforce Cloud Platform
Its IoT Cloud is powered by Salesforce Thunder, Salesforce combined with IoT delivers improved customer service.
Salesforce provides a platform called Salesforce IoT Cloud. So, It is powered by Thunder which is an event-processing engine used to give events in real-time.
Thunder is built on open-source tools:
- Apache Kafka is a messaging system that can handle huge volumes of data per second.
- Its Storm version is a real-time data and also event analysis platform.
- Apache Spark is a distributed large-scale data analysis framework for both batch and streaming data.
Key features of Salesforce IoT Cloud:
- Thus, Enhanced data collection
- Technology optimization
Drawback:
- Security liability
- Flexibility limitations
Click here to know more about sales force Cloud.
5. IBM IoT Platform
IBM Watson IoT lets you communicate with data from connected devices and gateways. It monitors your IoT data and analyzes it in real-time. IBM Watson enhances and customizes your IBM Watson IoT Platform experience by building and connecting your apps by using messaging and REST.
IBM Cloud Flow Diagram
Features:
- Connect Securely: register and connect your devices and gateways. instructions are step by step and quite easily for connecting devices, sensors, and gateways in the site.
- Information Management: Control what happens to the data that is received from your devices. Manage data and configure transformation actions, and integrate with other data services and device platforms.
- Analyze in real-time: Monitor your device data in real-time through analytics, and dashboards.
- Risk and Security Management: secure by design control capabilities protect the integrity of IoT solutions through secure connectivity and access control for users and applications.
Drawback:
- Watson Studio’s UI is not very intuitive.
- visualization library could be improved.
Click here to know more about IBM Cloud.
Written by: Yogendra Singh Rawat
Reviewed by: Batta Pruthvi
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