AWS IoT Core vs. IBM webMethods Universal Messaging (formerly from Software AG)

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.

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Software AG Universal Messaging is best used in conjunction with Software AG webMethods integration platform, as it works seamlessly with other components of that platform such as webMethods Integration Server and webMethods Trading Networks. It can be used with any messaging client developed in Java or .NET and supports JMS clients, however, it is best suited to being used as one component in an organization that is going to implement the entire webMethods platform to implement their Enterprise Service Bus integration solution.

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• 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

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• Low latency high performance messaging and event handling
• High availability
• Horizontal scalability
• Seamless integration with Software AG webMethods integration platform

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• 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

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• Logging
• Administration
• Observability

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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.

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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.

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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.

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Software AG Universal Messaging has excellent performance characteristics, a good high availability story, and works great when you are using the other products in the Software AG webMethods integration platform, as our organization is. It has relatively high licensing costs, which is a large negative when compared with open-source solutions such as Apache Kafka. However, Software AG provides good support services, and is a market leader in the integration space, giving some surety for risk-averse organizations that if something goes wrong we have a vendor we can rely on to help fix it.

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• 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

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• Enables disparate software systems to be integrated, reducing manual data entry
• Enables high performance event handling for data lakes and analytics
• Has relatively high licensing costs

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