AWS IoT Core vs. Felgo

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.

Incentivized

Felgo shines in rapid prototype development and fast iterations. It also has a very short learning curve compared to many other technologies that promise "code once, deploy everywhere." It is not appropriate if you are not willing to mess with the licensing related to Qt but I am still waiting for a clear answer on my doubts from the Felgo team.

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

• Ready available solutions for all platform mobile app development.
• Live hot reloading of UI and other advance controls by Felgo implemented in Qt.
• Using Qt underneath provides an opportunity to developers to use it in all kind of sectors like embedded devices, mobile apps, desktop apps, games etc.

Incentivized

• 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

Incentivized

• QML component / C++ code with hot reload feature.

I am happy with the constant feedback that I am receiving from the team. Although most of it is marketing related, there are some interesting and valuable materials that they have been pushing to ease my learning.

The quality of the documentation and the ease of use may be some important values to take into account.

We believe that the agility that we have acquired until now for developing apps for our business cases give this framework an important lead.

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

As with any product, Felgo has some edges to it, but from our past experiences evaluating "code once, deploy everywhere" platforms, we were really surprised at how fast the team went from exploring, into playing and presenting prototypes in very little time.

The dev cycle is really fast as I can get an almost instantaneous feedback on the changes that I make. And it is refreshing to see how I am able to target several platforms at once.

The javascript plus QML combination made it really easy to pick up for me and I am certain sure that many devs can migrate from Web only into multi-platform in a fast manner.

And there is also the possibility to implement C++ code if the need arises to support and bridge native libraries.

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 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.

Incentivized

The helpful, responsive customer support. In contrast to frameworks like Flutter, you can count on a professional team that can help you out if needed

• 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

• product not released so not applicable.

Incentivized