The Google Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.
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Azure IoT Central
Score 8.0 out of 10
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Microsoft Azure IoT Central allows users to connect IoT devices to the cloud and offers centralized management to configure and updated connected devices.
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 consider myself very techy and found Google Cloud IoT platform very challenging to manage. The lack of tutorials and discussions to understand how each section works is very challenging. I specifically made a connection after several hours to Google Nest to third-party integration, Home Assistant. Shortly after Google Cloud upgraded to a new version breaking the connection. This was extremely frustrating. No service should take several hours to figure out, in my opinion, if it does, the platform is doing a poor job of making it easy. I'm personally very discouraged any time I ever have to use this platform. It's very hard to find answers.
Microsoft Azure IoT Central has native integrations with Visual Studio (like pretty much all Microsoft products) making it pretty simple to publish apps to Azure App Service, where you can host all sorts of different applications. It does a really good job of storing large amounts of data (for instance, collected from IoT devices with various sensors) and it gets stored to multiple DBs. Azure IoT Central could improve by adding more customizations, as this would make troubleshooting the products easier and make future costs smaller and easier to predict.
Although comparisons are hateful, even more so when we are talking about leading brands where the quality of their services are indisputable, the general environment of Google was more familiar to me since I use, for example, Google Firebase on a daily basis, where part of the concepts are similar, without Without a doubt, AWS services are excellent, but it was easier for me to go through the functions of Google Cloud IoT.
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.