AWS IoT Core vs. Felgo

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

It is a very good tool for making all types of mobile and web applications once you know how to use it. It allowed us to realize several application concepts, such as currency converter, pregnancy monitoring, QR code flash for product evaluation. No need for native SDKs, Build in and Install from Cloud with the Felgo Build Server.

• 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

• 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

• 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 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

As I was already a C++ and Qt developer, Felgo was obvious choice over other tools. Also its cross-platform solutions for mobile apps and Qt's ability to provide cross-platform tool for all other devices makes this perfect choice.

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

• Development cost became low
• Easy to learn
• created well performed cross platform application