Everything Connected –
with the Data Coffee Connector
All data—no matter where it comes from or where it’s going.
With the Data Coffee Connector, even heterogeneous machine fleets become digitally accessible for various IT systems and use cases.
Make data available
Read data from common control systems, such as Siemens, Beckhoff, or ABB, or protocols like Modbus or OPC UA, and write it to databases or third-party software of your choice. Configure the data streams in our intuitive user interface or seamlessly integrate our connectivity into your software environment.
No programming knowledge is required to create or modify data streams. Nor is it necessary to make any changes to the control program.
Connected to machines and sensors in minutes
Create custom data streams through configuration
Converting data into information
The connector is installed in a runtime environment of your choice. Data is retrieved via the existing network connection to the data sources, preprocessed if necessary, and forwarded to the data sink of your choice (e.g., a database or ERP system).
The connector is available both for end users, such as manufacturing companies, and as a white-label solution for component manufacturers, machine builders, and software developers.
100 %
flexible data provision
in 5 min
all data available
> 1 Mio.
Data points/sec possible
100%
integrated in IT infrastructure
Use Cases
Easily Connect Machine Data
(1) Install the Data Coffee Connector
in a runtime environment of your choice
e.g., a production server or an edge device. On Windows, Linux, or in Docker. The runtime environment must be connected via Ethernet to the controllers and sensors from which data is to be read. Separate hardware is not required, but can be used if desired.
(2) Define data streams individually
by selecting the relevant data points,
that are required in IT systems or use cases. The data streams can be customized at any time should requirements change.
(3) Define data preprocessing
to turn data into information
and reduce data traffic and data clutter. For example, this allows for the direct monitoring of thresholds, the counting of edges, or the aggregation of measured values. This preprocessed data can then be made available directly to the ERP system or a third-party application.