AWS IoT Core vs. Qlik Analytics Platform

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

Qlik Analytics Platform has helped us track turnaround time as well as sales volumes. We can display metrics in a multitude of ways and can then slice it up in even more ways by adding filters. It is nice that you can filter down the data by essentially "Qliking" anywhere to find insights. Qlik Analytics Platform has been extremely beneficial in reducing manual reports. We are able to automate numerous reports in addition to setting up alerts, through Nprinting, that will notify users when certain metrics are hit. For example, if our turnaround time exceeds a certain number, we can alert business stakeholders so they can take a closer look. We can also send notifications to sales representatives when their territories are underperforming.

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

• Fast setup of analytics report
• Easy tweaking of build dashboards
• Perfect integration with other data software
• Vast possibilities on setting up dashboards

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

• Certainly, it turns out that implementation and data modeling are sometimes complex.
• There are still many graphic and representation limits that need complex customizations to be overcome.

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

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

Customer support is provided through resellers, and finding the right reseller for your context can be a challenge. However our support from our last two resellers/partners has been largely very good. The online community is strong, though obviously doesn't replace having local technical experts working with the product and managing it.

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

Qlik is a platform with more scaling ability and functionality compared to PowerBI. PowerBI is the prior step before passing to Qlik, however, Qlik provides more functions and abilities to the business domain unit with better management capabilities for the IT team that set it up. In the end, we implemented Qlik for functionality and scalability.

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

• It made our analytics better
• Dashboards for strategic decisions are changed and setup faster
• We spend more time on learning the tool than we thought to need

Incentivized