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
IBM Cloud Pak for Applications
Score 7.2 out of 10
N/A
IBM Cloud Pak® for Applications (CP4Apps) is an end-to-end hybrid cloud application platform, providing flexibility for deployments, building new cloud-native applications, refactoring and re-platforming existing applications. Designed to leverage a collection of application runtimes, modernization tools and a Kubernetes container platform to adapt to their landscape needs.
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Pricing
AWS IoT Core
IBM Cloud Pak for Applications
Editions & Modules
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
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AWS IoT Core
IBM Cloud Pak for Applications
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
AWS IoT Core
IBM Cloud Pak for Applications
Features
AWS IoT Core
IBM Cloud Pak for Applications
Internet of Things
Comparison of Internet of Things features of Product A and Product B
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.
Well suited for customers who are looking for cloud-adoption, and finally to meet the challenges of business innovation for the competitive advantage through DevOps.
Provides a fantastic range of Application runtimes allowing the most suitable runtime to be selected for the app being implemented.
After using Transformation Advisor for quite a while, it is an indispensable tool to help modernize, specifically from WebSphere and Tomcat, towards the lightweight, fast and efficient Liberty runtime.
The simplicity of the licensing by wrapping many products into a single offering with a different VPC weighting.
Allows us to modernize our runtime from WebSphere Application Server (or ND) to WebSphere Liberty core without sacrificing our WAS licenses.
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.
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 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.
Our customer mission-critical core banking applications like Temenos T24 run on best of the breed IBM WebSphere Application Server which is java based-application server. IBM has kept up the promise of providing support, fixpack, and any update. As far as I know, at least by 2030, IBM is committed to continue with WHE which gives customers confidence in their current investments.
We have been able to migrate apps away from the expensive WAS-ND to the more cost-effective WAS-base without throwing away our WAS-ND licenses. With a 1:4 ratio of WAS-ND to WAS-base we've been able to we've been able to save in excess of 75% on licensing charges for these apps.
By having a license model based on VPC ratios (1:4:8 - WAS-ND:WAS-base:Liberty core) we've been able to move away from using license pooling resulting in over-allocating (i.e. wasting) CPU cores for each license pool, to using consolidated license pools hosting a combination of WAS-ND, WAS-base and Liberty-core. This has allowed us to reduce our licensing costs accordingly.
