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

If you are looking to build something that just requires a simple queue service (as the name implies) this is great for it. You might look elsewhere though if you get into more complicated needs. This is also very well suited if you are already using other services with AWS and intend to fully build whatever you are building in AWS. If you are looking for a mixed environment -- SQS is not for you

Incentivized

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.

Incentivized

• It provides an always-available serverless queue for workflows or mission-critical processes.
• Is extremely low cost and overall costs to our environments have been negligible.

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

• Almost all of the functionality has been covered by SQS, but they could improve the throughput time.
• Also, they could provide built-in Cloud Watch, so that we can easily configure it without any external efforts.

Incentivized

• 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

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

The most comparable products are RabbitMQ, and perhaps ActiveMQ. Until recently, AWS did not offer a managed ActiveMQ product. Running RabbitMQ will never be to my team's competitive advantage; we wanted a managed service.

Incentivized

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.

Incentivized

• Positive impact - time allocation towards different features
• Negative impact - too many resources dedicated towards debugging
• Positive impact - less manual labor during testing

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