We are part of the Institute of Computer Science at Johannes Gutenberg University Mainz.
This research group focuses on the design and implementation of novel methods and systems for the efficient management, processing, analysis, and interpretation of data. This includes the adaptation of established database management concepts to modern (hardware/software) environments, the design of unconventional processing models (e.g. blockchains), and the transactional and analytical processing of very large and potentially differently structured data sets (OLTP/OLAP). In doing so, the working group does not only consider individual components and processes of these topics in isolation, but always focuses on the combination of individual components to build an efficient overall system.
- Our abstract “A Comparison of Resampling Methods and Their Predictive Performance for Three Machine Learning Algorithms on Imbalanced Medical Data” has been accepted to GMDS 2026!
- Our demonstration “The Case for Multi-Version Experimental Evaluation (MVEE)” has been accepted to VLDB 2026!
- Felix Schuhknecht has been recognized as a Distinguished Reviewer of SIGMOD 2026.
- Our paper “Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space” has been accepted to Euro-Par 2026!
- Our paper “One Size Does NOT Fit All: On the Importance of Physical Representations for Datalog Evaluation” has been accepted to IEEE ICDE 2026!