Amazon Simple Queue Service (SQS) vs. AWS IoT Core

While we use AmazonSimple Queue Service (SQS) in our serverless applications, it would be a great option to handle queue management for any internet-connect application. It provides the most benefit in situations where your application or service must maintain mission-critical queue of messages or jobs. If you're already using other AWS services you will find the greatest benefit.

Incentivized

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

• SQS is reliable and fully managed. Our engineers do not have to worry about running RabbitMQ.
• SQS is very inexpensive.
• SQS allows data to be encrypted in transit, which may be required for compliance in some products.
• FIFO queues provide exactly-once processing.

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

• More frequest polling will be expensive
• No detailed monitoring of queues, just current data and regular monitoring is present
• No way to fetch messages back from the queue

• 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

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

Online blogging and documentation for SQS is great. There are many examples of implementing it and if you look hard enough, more than likely there are examples that meet the exact case with which you are working

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

To be blunt: Amazon SQS was the simplest to implement given our requirements. Other services in this space work just as well, and SQS does not have any benefits outside of being the easiest to implement when using an otherwise fully AWS stack. AWS itself even has other solutions that would work just as well, however, SQS had the most reasonable pricing model for our given situation. That will certainly not always be the case, but in several of the instances where we are using it, it just made the most sense.

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

• Under the AWS Echo system, it provides great operating power to the application.
• The cost is much less for messages, and it also supports a multi-user option.
• Not for us, but for a larger organization, low throughput might become an issue for a standard queue type.

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