AWS IoT Core vs. Swiftify

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

For me as a picky person I never used the file convertor but for a small portion of code, it is good. With the classes that have more than one initializer, it got confusing and I had to dig to find the exact issue to fix.

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

• Put in your Objective-C code, select the version of Swift language to convert, click convert. That's all!
• Swiftify is now creating a platform to convert Objective C to #C, something that can help for different development projects platforms.
• Swiftify offers a few free converts to try to show you the power of it. Their price for a subscription plan is really good for big projects.

• 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

• It lacks general performance and availability
• It doesn't handle Objective-C macro well
• Overall conversion speed expected to be much better

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

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

There are constant upgrades to improve the conversion.

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

Swiftify tries to convert the code even if the code can not be executed in a real situation. I chose Swiftify because most of the times you just need to convert one line, one method... That of course, it is using and used by other code that you didn't add in the conversion code, but you just need to convert that for now. In this situation, Swiftify converts the code, other ones such as iSwift will report an error in the code and will not convert it.

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

• good ROI, saves a lot of time.

Incentivized