AWS IoT Device Defender vs. Google Cloud IoT

We have used AWS IoT Device Defender to safeguard our client's IoT senors placed in a manufacturing unit for implementing Industry 4.0 solutions. Its machine learning and automation capabilities have ensured that we get alerts whenever something abnormal or spike in a particular metric is detected which lets us sleep at night. Didn't find any scenario where it is less suited.

I consider myself very techy and found Google Cloud IoT platform very challenging to manage. The lack of tutorials and discussions to understand how each section works is very challenging. I specifically made a connection after several hours to Google Nest to third-party integration, Home Assistant. Shortly after Google Cloud upgraded to a new version breaking the connection. This was extremely frustrating. No service should take several hours to figure out, in my opinion, if it does, the platform is doing a poor job of making it easy. I'm personally very discouraged any time I ever have to use this platform. It's very hard to find answers.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• software is having an easy interface
• prevents malicious data inflow/outflow from the AWS resources
• collect data from different devices
• generating alerts in case of any threshold.
• Unique identity per device

• Integration with different brands of microcontrollers including the one currently used by Espresiff.
• The platform is very robust and secure.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Support to more range of Application vulnerabilities
• Data Management can be richer
• Limited Computing Power at times

• Not beginner friendly.
• Needs more tutorials and walk throughs on how to get started.
• Very complicated and unless you know what you are doing you will be lost.
• Lack of material found on how to do each section / services.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Although comparisons are hateful, even more so when we are talking about leading brands where the quality of their services are indisputable, the general environment of Google was more familiar to me since I use, for example, Google Firebase on a daily basis, where part of the concepts are similar, without Without a doubt, AWS services are excellent, but it was easier for me to go through the functions of Google Cloud IoT.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• It's ML part which is already trained and on the top of that we can add our own model to define device behaviors to monitor traffic and set the upmost security.

• The amount of hours to get things integrated is negative.
• The amount of hours researching how to get devices integrated is negative.
• Overall the amount of time and effort getting things working has been a negative experience.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info