The main argument for performing data analysis of process data using cloud solutions is convenience. This choice generally wastes resources and is impractical for time-sensitive data. Furthermore, integrating end-user interactions into the infrastructure is often times a complex task, hindered by the extra cloud layer.

Cloud solutions scale well, which is why larger analysis procedures should be performed within the cloud infrastructure. The trade-off challenge between edge computing for small-scale time-sensitive data and large-scale computing of time-insensitive data does not yet have established solutions.

Edge Broker automates cloud provisioning and provides real-time streaming analytics as well as device controlling, thereby circumventing the cloud where edge solutions provide a higher benefit. The solution offers a smooth and simple transition from edge to cloud. Administration tasks can be performed through a universal web interface, as well as data analysis, managing client connections, and controlling the devices.