AWS IoT Core vs. Particle

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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We used in mostly all cases in our company. It is best for beginner users and for getting started for IoT Developers. You can give it to any beginner and they can easily learn in just a few minutes. I can say the best product for the starter projects. Everything is just fab!

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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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• Particle is simple to use and accessible to any user.
• The servers housed in the data center allow us to respond to any problem
• Through the interface the data is analyzed in a very simple way.
• Ideal interface for the exploitation of our devices, computers and mobile phones.
• The interface for iOTs allows us to interact with the system in a few steps.
• It allows, among other things, the display of information calculated from the data collected from different iOTs, in an understandable way.

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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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• For Advanced programs, a bit complicated to programme.
• Pin Limitations (Photon DevKit).
• Pricing is high compared to others.

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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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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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Efficient integration of multiple devices very well integrated and with a minimum implementation time.

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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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I have used other IoT Development Modules like Arduino, Raspberry Pi, and others. Most of all starter kit doesn't come with WiFi or Cellular built-in. Arduino is a basic module where you have to add WiFi or Cellular manually in it. Raspberry Pi has WiFi but it cannot be used for small or medium use cases, it can be used in advanced and complex systems building and it is costlier.

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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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• It ensures very good results, with recovery of the investment in a short time.

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