Azure IoT Edge is a fully managed service built on Azure IoT Hub. Users can deploy cloud workloads—artificial intelligence, Azure and third-party services, or business logic—to run on Internet of Things (IoT) edge devices via standard containers. The vendor states that by moving certain workloads to the edge of the network, devices spend less time communicating with the cloud, react more quickly to local changes, and operate reliably even in extended offline periods.
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Pointerra
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Pointerra3D is a cloud-native geospatial data
management and visualization platform designed for asset-intensive
industries. At its core, Pointerra3D enables teams to store,
visualize, annotate, and query massive 2D and 3D datasets within a single,
browser-based environment. Built on a data-agnostic Common Data
Environment (CDE) architecture, it connects every data source, user, and
workflow in one secure, cloud-hosted workspace.
This CDE provides the foundation for teams to…
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Microsoft Azure IoT Edge
Pointerra
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Azure IoT Edge
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Community Pulse
Microsoft Azure IoT Edge
Pointerra
Considered Both Products
Azure IoT Edge
Verified User
Anonymous
Chose Azure IoT Edge
SAP IoT is more useful when you use SAP as your ERP and try to to add a business context and merge the scenarios, Cumulocity IoT has nice analytical capabilities, digital twin features, also has good connectivity options but when it comes to edge functionalities I think …
In terms of creating a smart digital workplace, in terms of being granular in enterprise security, provides a modernised experience, high quality data analysis at the edge of computing, while providing efficient mobility and workplace services.
It is really a great product. It can help a medium to large production company to cut down on their IT expenses such as cloud storage. We are using it with our IoT based ERP system. Microsoft Azure IoT Edge helps in implementing the edge computing in an easy way and it is free …
It is well suited if you have a production plant and you want to cut down the cost of cloud storage. It is best for medium to large companies if they want to process their machine generated data at their production site and only store the data that is required in cloud storage. It is less appropriate for small companies.
Most of the time it works perfectly, does not require any attention, but when there is a problem, it's really hard to diagnose it. I think the documentation for the positive scenarios are good on the Microsoft side, but for negative scenarios, I don't think there is enough community help out there, in my opinion.
In terms of creating a smart digital workplace, in terms of being granular in enterprise security, provides a modernised experience, high quality data analysis at the edge of computing, while providing efficient mobility and workplace services.