AWS IoT Core vs. Espresso

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 very easy to verify Images with drawable resources
• Color Verification we can do this by referring to the same hex code as the developer team used so that it is reused.
• Opening a desired activity without performing End-to-end flow which eventually saves time.
• If the application is built on Android we can go testing activity with Espresso as it provides all the necessary APIs
• Espresso is not appropriate to iOS app automation, from a business point of view we need to hire new resources for iOS testing.

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

• Automatic Waiting logic before failing any test
• Black box and Grey box testing
• Easy to Understand and Very Flexible
• Supported Java And Kotlin
• Fewer Efforts compare to other Mobile Automation Frameworks
• Execution is very Fast

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

• As Espresso works on the ideal thread if the threads are not handled properly by the developing team it can lead to challenges in the execution of your tests.
• Depends more on the developer's code
• we cannot develop tests as individual frameworks, we share the repository with developers.
• We need to be cautious while making changes in the tests, as we share same repository

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

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 our app is complete on Android Espresso is the best choice over Appium Fewer efforts in Espresso over Appium, as Espresso provides some built-in library to perform the operation. Easy to use, Espresso is very easy to understand and we can perform operations with very little code. Developers can contribute, as they have good command over Java and Kotin languages and also use Espresso for unit testing.

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

• As it is an Open Source tool it cost-effective
• East to use, so that you can train many new Joiners to start delivering the tasks
• Maintainance is very low, as we depend on the developer's layout files we can reuse their elements
• We can cover most of the scenarios which helps in the coverage of the tests

Incentivized