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
Azure IoT Central
Score 4.0 out of 10
N/A
Microsoft Azure IoT Central allows users to connect IoT devices to the cloud and offers centralized management to configure and updated connected devices.
N/A
Pricing
AWS IoT Core
Microsoft Azure IoT Central
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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Offerings
Pricing Offerings
AWS IoT Core
Azure IoT Central
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
Additional Details
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Community Pulse
AWS IoT Core
Microsoft Azure IoT Central
Considered Both Products
AWS IoT Core
Verified User
Anonymous
Chose AWS IoT Core
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 …
AWS iot core is a good starting point which can be utilized for a variety of enterprise solutions. Barrier to entry to experiment and try AWS iot core is less and AWS eco-system providers ensure that even startups can try a variety of solutions and build key skills and …
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 …
It turns out that AWS IoT Core is the most mature solution on the market with the best variety of integration tools available. On the downside, it is not the cheapest platform existing out there. Amazon IoT Core is easy to start and set up, and our prior engagement with Amazon …
For our use case, we ended up with AWS because the human resources that were planning to be resourced on this particular project happened to have prior familiarity with the AWS ecosystem. The conversation became can we justify continuing with this ecosystem rather than pivoting …
We have checked other IoT platforms such as IBM Watson IoT and Microsoft Azure IoT, but Amazon IoT Core seems reasonable in terms of pricing and overall functionalities. Amazon IoT Core is easy to start and set up and our prior engagement with Amazon for AWS was a factor to go …
AWS IoT Core is faster, easier, cheaper, and enjoyed by our employees more than Microsoft Azure. We selected AWS IoT because we saw an advertisement for it and have used it ever since. We will continue to use it as long as it is around or until we find one that is better.
We prefer Amazon storage and content delivery S3 services rather than Microsoft Blob Storage. Also, AWS IoT Core seems to be the cheaper alternative compared to Azure IoT.
Handles excellently and after trying a few of them I saw that it is most suitable for the current work of the company and all the products that the company works with
Before deciding to go with Microsoft Azure IoT Central, we considered Google, Datadog, and AWS alternatives. The reason we went with Azure was that the client was heavily invested in Microsoft technologies and Azure plays really well with other Microsoft products. The …
I haven't used any similar product, but I have heard about Amazon Web Services and Google Cloud capabilities. I don't know how would Azure stack up to them.
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
If there is a need for a system to be developed in a short time then Azure IoT Central is the perfect option, offering a fast solution for a simple system that can be used and built upon. This is a great advantage as it skips on some details, also this is a bit of a disadvantage as most times developers want to know what they are working with.
Creation and management of user roles, who can access your IoT resources and configure the level of access, very granular and self-explanatory
Configuration of apps and devices, integrations, and administrations are done in an intuitive way and it's easy to navigate your way through the available settings.
The documentation is really excellent, everything is explained succinctly and there are enough practical examples to get you started.
Existing templates can save you a lot of time in getting your desired setup complete with less effort and time invested.
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 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.
Before deciding to go with Microsoft Azure IoT Central, we considered Google, Datadog, and AWS alternatives. The reason we went with Azure was that the client was heavily invested in Microsoft technologies and Azure plays really well with other Microsoft products. The competitive products might be a little bit easier to set up, with more flexible pricing, but, the integrations with other Microsoft services were the deciding factor for our use case.