AWS IoT Core is a managed cloud service that lets connected devices interact with cloud applications and other devices. It includes the Device Gateway and the Message Broker, which connect and process messages between IoT devices and the cloud. AWS IoT Core connects AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process,…
$0.08
Per Million Minutes
Felgo
Score 10.0 out of 10
N/A
Felgo provides components, tools and professional services for developing apps on Mobile, Desktop and Embedded platforms. The Felgo framework extends Qt with 200+ APIs. Among them is support for 3rd party SDK integrations like push notification or analytics, native iOS styling, Qt Quick Controls extensions for native look & feel on Android & iOS, density independence and responsive layout support. Felgo also provides features like AR (Augmented Reality) and Machine Learning integrations…
N/A
Pricing
AWS IoT Core
Felgo
Editions & Modules
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
No answers on this topic
Offerings
Pricing Offerings
AWS IoT Core
Felgo
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
$850 seats
Additional Details
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More Pricing Information
Community Pulse
AWS IoT Core
Felgo
Features
AWS IoT Core
Felgo
Internet of Things
Comparison of Internet of Things features of Product A and Product B
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
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.
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.
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.
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.
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.
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.
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.
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.
