AWS IoT Core vs. TrendMiner

End-to-end encryption is an amazing feature because we use IoT to connect to various devices in order to gather data/ stats in real-time. We're able to publish solutions with ease and at a faster rate because of AWS IoT Core. However, its inability to interact with other IoT tools is a big con that I would like them to improve upon.

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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

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• 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

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• Ability to integrate with Ethercalc software solution
• Ability to introduce NFC toolchains and systems which could be utilized in iot modular gateway solutions like drones
• Ability to reduce latency as the solution scales is very much needed
• Hybrid solution which can integrate other existing iot solutions into AWS iot core

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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.

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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

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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.

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Azure IoT service provides more or less the same services as compared to AWS IoT core, however the costing of AWS lead us to continued usage of IoT core over Azure IoT services. Also, considering our existing technology stack is on AWS, it was a natural selection for better integration and ease of use.

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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

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• 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

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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