- June 19, 2024
IoT cloud technology is improving day by day. For remote data monitoring, alert system development, real time data use cloud integration is necessary. There are many cloud you can integrate in your smart device whether it is embedded product or digital app. Choosing one requires expert knowledge.
Out of top cloud companies which cloud to select is difficult question. There are dominant companies in cloud like AWS, Azure, Google Cloud, IBM cloud, Oracle Cloud etc. AWS, Azure and GCP are the most popular and dominant in IoT market. In this blog you will get insights for AWS and Azure IoT.
Learn how AWS IoT is different than Azure IoT :
HTTP MQTT WebSockets
AWS IoT offers AWS IoT Core which helps user to connect over cloud and tracking, monitoring and managing IoT devices on large scale. It also provides OTA (Over-The-Air) updates.
AWS IoT offers AWS IoT Analytics which offers user real time analytics features along with SQL queries and machine learning models.
AWS IoT offers a wide range of programming languages such as Python, JAVA, Node.js. It can also integrate with AWS Lambda, Amazon QuickSight and Amazon Elasticsearch, and Amazon kinesis.
AWS IoT provides Amazon SageMaker which helps to train, develop and deploy models with scalability.
In the first quarter of 2024, AWS maintained its leading position in the cloud market with a 31% share, while Azure reached an all-time high of 25%.
MQTT AMQP both over WebSockets HTTPS
Azure IoT offers Azure IoT Hub, a cloud service facilitating bi-directional communication between devices and the cloud. It includes features for device provisioning, management, and digital twins.
With Azure Stream Analytics the user can measure real time data from multiple resources.
Azure IoT supports multiple programming languages and offers SDKs for various platforms, including .NET, Java, Python, and Node.js. Additionally, it integrates seamlessly with other Azure services like Azure Event Grid and Azure Functions.
With Azure machine learning user can train, develop and deploy models with scalability. It also includes pre-built models, algorithms and tools for creating custom models.
Know the offerings from AWS IoT and Azure IoT :
Connects IoT devices with AWS cloud without provision need and serverless feature.
Audit connected devices and provides security.
Collect and transfer connected vehicle data to the cloud at large scale
Collect and monitor industrial data and help to take data driven decisions
Detects and respond to events from collected data from sensors or applications
Optimize operations by easily creating digital twins to optimize the product.
Analyze data in large volumes without separate analytics platform.
Deploy Operating systems for MCUs that make small, low power edge devices with ease of management.
Build, deploy and manage IoT applications at the edge with open-source edge runtime and cloud services.
It can transform any type of embedded device into IOT device with minimal design effort using hardware modules
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It captures asset data, processes it at edge and sends it to Azure cloud.
Connect, manage, operate IoT devices at large scale.
Create replica of devices for better analysis, modification with real time data driven approach.
Enhance cloud intelligence and analytics by shifting workloads and business logic from the cloud to edge devices.
Connects MCU powered device to cloud in a secure way.
It offers OS support for managing IoT devices in the long term.
What are the price range of AWS IoT and Azure IoT :
The pricing for AWS IoT Core depends on the number of messages exchanged between devices and the platform. For instance, the first 50 MB of data is charged at $0.145 per MB, and any usage beyond 50 MB is billed at a reduced rate of $0.116 per MB.
You can resolve up to 1,000 locations at no cost during the first 12 months. After this period, standard pricing will be applied.
Supports up to 8,000 messages daily, making it ideal for small-scale projects or development use.
Start at $10 per month, providing support for higher message volumes and extra features.
Begin at $25 per month, offering advanced capabilities like bi-directional communication and device management.
For small business Azure can be a better choice whereas for large scalable projects AWS is a better choice. If the project includes high-end data integration and analytics, then Azure is the best choice. For running with other Microsoft applications Azure will be the cost-effective choice.
In conclusion, cloud providers play a pivotal role in the digital transformation of businesses, offering a wide array of services that cater to diverse industry needs. Whether through AWS expansive infrastructure, Azure hybrid capabilities, GCP cutting-edge AI tools, or specialized offerings from providers like Alibaba, Oracle, and IBM, companies can harness the power of the cloud to enhance scalability, security, and operational efficiency. As the demand for IoT, AI, and data-driven solutions continues to grow, cloud platforms will remain at the forefront of technological innovation.