- It has 4 x 2 GbE network interfaces
- Prices start at just $11.22 per month
Data Box Gateway
- Provisioned within your hypervisor, Data Box Gateway is a virtual device
- It is a storage gateway
- It has support for NFS or SMB protocols
- It has support for Azure Blobs or Files
- It has support for VMWare or Hyper-V
- Subscription starts at $2.50 per month
Data Box Edge Use Cases
- Analysis of on-premises system data or IoT device data to get quick results from
close to where that data is generated. Edge data sets can be transferred easily to
the cloud for deeper processing and analytics and pre-processing can be used for
modifying or aggregating data, transferring big data and analyzing IoT events. - Enables machine learning models to be run at the edge for fast results without
having to go on a trip to the cloud. The entire data set can be transferred to Azure
and retrained and improved. - Quickly and easily transfer data for archiving or for deeper analytics.
What is Azure IoT Edge?
The IoT, Internet of Things, is a merger between the cloud, artificial intelligence and
edge computing. Azure IoT Edge allows you to stack up your cloud workloads, like
Machine Learning, Azure Cognitive Services, Functions, and Stream Analytics, running
them all locally on any device, from a small Pi to the largest of industrial gateways. With
Azure IoT Edge, you can use the Azure IoT Hub to manage your edge devices and
applications, scaled to support whatever cloud or private environment solution you use.
- Together with Qualcomm, Azure IoT Edge allows you to develop IoT camera-
based solutions quickly and easily, combining edge computing and on-device
vision AI. - IoT Edge optimizes performance between the cloud and edge, ensuring the lowest
possible latency, while keeping up with security, management and scale. - Intelligent edge devices face much higher threats to security, from physical
damage to having the IP hacked. With IoT Edge, security goes much deeper,
extending to all kinds of risk profiles and scenarios for deployment. - With IoT Edge, deployment of machine learning, complex event processing,
image recognition and more without having to write it all in-house. Azure