AWS IoT Core vs. Dryad

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

Dryad is well suited for situations where you are lacking data and or on the lookout for more interesting datasets to work with. It is also easy to read about how the authors collected the data and even provides a link to email them in case you need more information.

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

• Data curation
• Easy to use website
• Data in any format

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

• More incentives for people to contribute data
• More promotion of the platform so people know about it
• Expand data categories

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

The website isn't as clean as that for Dryad and there seems to be less support for the end-user. However, it appears that they also have a large number of data repositories and have backing from many well-known universities. Ultimately, it comes down to personal preference and likability.

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

• 35% time saved when it comes to cleaning
• Obviate the need for purchasing data
• Do not need to hire people to collect data

Incentivized