AWS IoT Core vs. TrendMiner

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

Well suited for: - Company/refinery-wide views/dashboards covering a range of data sources with drill-down ability - Event monitoring and event analysis with ContextHub views - Online monitors for notification of significant event with included links to get an overview of the supporting data with views and dashboards Expected improvements/enhancements: - Expansion of the list of supported functions for calculations - Expansion of the number of dependent levels for calculations - Auto-saving on applications - Documentation of work and Subject Matter Expert knowledge on what applications do and why

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

• 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

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

Generally easy to use and intuitive and a very good self-service tool. Because of the wide range of data sources we have, it is a good tool for an easy access to lots of our refining data. Some improvements would be welcome relative to replicating similar applications or folders, bulk copying several items

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

Seeq was considered a superior tool, but the pricing structure is extremely ill suited for our needs. TrendMiner's overall support (previoulsy done using "Chat with me" and subsequently with the TrendMiner Community is second to none - outstanding TrendMiner engineers were the only one who seriously helped us implement a solid governance model with tag usage tracing

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