AWS IoT Core vs. Microsoft Azure IoT Edge

AWS iot core is very useful if you need to scale very quickly for managing lots of devices without handling the underlying infrastructure cost. It can enable real time publishing and subscription of devices, monitoring and early stage intervention in case of unexpected issues while developing a full stack solution. However, healthcare scenarios where government intervention is needed should be developed and scaled by following the set of compliance policies of the government and the SLA requirements of the customer. Finally, it is great where you need to do data science research after anonymizing data

Incentivized

It is well suited if you have a production plant and you want to cut down the cost of cloud storage. It is best for medium to large companies if they want to process their machine generated data at their production site and only store the data that is required in cloud storage. It is less appropriate for small companies.

Incentivized

• AWS IoT Core integrates power analytics and an AI solution for sensor data processing.
• Great protocol support including HTTPs and MQTT required to connect resource constraint IoT devices to cloud
• High security standards during data transmission
• Scalability and a great user community

Incentivized

• Innovative virtual learning environments that fasttracked our transition to remote learning at the height of the Covid pandemic in 2020
• Mission critical business solutions for academic members of staff
• Video conferencing and IoT devices connections

Incentivized

• It would be great to have better integration with other IoT products outside of AWS
• It has been lagging in some of our applications. It's difficult to tell whether this is on AWS IoT or on our implementation
• It would be great to support a wider range of protocols

Incentivized

• We had some trouble such as latency issues [and] connectivity while using Azure blob storage as an Edge Module on Azure IoT Edge runtime, so they should look into it.
• We were stuck while defining the routes for different Edge Modules on Azure IoT Edge, so they should simplify it and improve the related documentation section as well.

Incentivized

I give AWS IoT Core's overall usability this rating because it is very easy to use and is enjoyed by all of our staff. The only problem is that it sometimes glitches and it freezes a lot. So overall, the usability of AWS IoT Core is very good, and we will continue to use it.

Incentivized

It covers all the aspects of IoT services required for an IoT company. It supports all the industry-wide protocols for secure data transmission and integrates powerful AL and ML technology for data analytics. For data storage, Amazon S3 is a great solution. Strong tech support and user community. Since it is widely used as compared to other products, there is an abundance of training and learning material on the web.

Incentivized

Azure IoT is a good product but since our whole suite of tech is now set up in AWS (ec2, s3, sagemaker, cloud formation, etc.), we wanted something that could quickly adapt to our environments. Learning a new tech for IoT was simply a bottleneck that we wanted to avoid at this point.

Incentivized

In terms of creating a smart digital workplace, in terms of being granular in enterprise security, provides a modernised experience, high quality data analysis at the edge of computing, while providing efficient mobility and workplace services.

Incentivized

• Gives confidence to prototype iot solutions across lots of devices in little time
• Ability to meet requirements for managing a variety of communication protocols
• Learning iot analytics and visualization for faster insights enablement
• Onboarding devices and managing quickly without building inhouse solutions

Incentivized

• Very High ROI as Microsoft Azure IoT Edge completely enables the features of Edge computing.
• Real-time analytics can be achieved with Microsoft Azure IoT Edge.
• No Negative impact as such.