Data Analytics Server - higher availability and lower costs

  • Data Analytics Server
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    Industry 4.0 is possible even without the cloud

    Data Analytics Server from Bosch Rexroth makes production transparent for Industry 4.0 projects on the spot.

Turn-key analysis and monitoring solution for new and existing machines

Data Analytics Server (DAS) is a rapidly deployable and easy-to-use software solutions for Industry 4.0 applications.

DAS captures process and machine data in real time, analyzes it without going through the cloud and stores it close to the machine. Also large amounts of data could be monitored, analyzed and visualized. Via the open Industry 4.0 standard OPC UA, control units from different manufacturers can be interfaced.



  • Monitoring of the control, drive and sensor data in real time using the OPC UA standard
  • Powerful database to store large amounts of data
  • Workflow system to analyze, optimize and resolve manufacturing problems
  • Long-term diagnostics logbook with integrated TOP10 error analysis
  • Deployment of pre-processed data for other IT systems like MES, PPM, and Data Analytics via the OPC UA standard
Data Analytics Server

Turn-key solution for monitoring, storing and visualizing large amounts of data in real time – suitable for new installations and retrofitting

The DAS is an impressive turnkey, on-premises solution with a real-time database, with which operators, machine manufacturers and service providers can increase the effectiveness of new and existing systems through targeted analyses.

Web-based configuration and visualization

The configuration of the DAS follows operating principle - "parameterization instead of programming". The user simply determines what data to capture and evaluate. The variables for one or more OPC-UA server connections are selected via a drop-down menu. Predefined analysis packages shorten the implementation of each use case.

User-oriented process and condition monitoring and machine diagnostics

The DAS calculates, analyzes, and visualizes the status and the use of the machines from collected data such as cycle time, piece counter, or engine temperature. The monitoring package puts the user in a position to monitor the machine's entire structure and to predict productivity-related damage. Through the pre-installed analysis functions, such as the diagnosis logbook, processes can be quickly stabilized.