A web development platform for modern ASP.NET Core applications based on the open-source, strong, and mature ABP Framework. Volosoft states the service provides: enterprise-ready, feature-rich, pre-built application modules (e.g. Identity Server management, SaaS management, language management, etc.) rapid application development tooling to support your development productivity (e.g. ABP Suite) professional UI themes Premium support Time is the most…
$2,999
3 included developer licenses, limited forum support
AWS IoT Core
Score 9.9 out of 10
N/A
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
Pricing
ABP
AWS IoT Core
Editions & Modules
Team
$2999.00
3 included developer licenses, limited forum support
Business
$5999.00
5 included developer licenses, unlimited forum support
Enterprise
$9999.00
5 included developer licenses, limited forum support
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
Offerings
Pricing Offerings
ABP
AWS IoT Core
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
ABP
AWS IoT Core
Considered Both Products
ABP
No answer on this topic
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.
If you are building a simple web application and want to bypass all of the basic building blocks (authentication & authorization, multi-tenant, etc, etc.), then ABP Commercial will allow you to do this very quickly with their tooling. It is also an excellent tool if you are building a large complicated SAAS product, as long as you are willing to invest the time required to understand the 'why' behind their architectural decisions and follow their methods throughout your development.
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
Initial learning curve - There is a lot of training and help material available, but one of the hardest things to grasp (and also to explain) are all of the reasons why the 'ABP way' is better. Many times, it seems to be more complicated or more difficult than the 'simple' way of doing things. Over time, as you expand on functionality and add more and more layers of complexity, you realize WHY they build the software the way they do, and it goes from appearing complex to appearing elegant.
Support - Some support techs are excellent, but others seem to be missing to just supply ANY answer to a question (which is often something along the lines of 'read the help').
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.