Main Interests
We are highly interested in data systems research. In our group we build stuff, be it standalone algorithms, proof of concepts, prototypes, minimal viable products, or entire systems. We perform large scale experimental studies and analysis with the goal to fully understand which method, algorithm and/or system works best in which situation. In particular, we are interested in performance explainability, i.e., why do certain features of a method, algorithm or system have which effect? In addition, we work on several aspects of query processing and optimization.
In all these endeavours, we love both foundational work (“Why does that algorithm behave like this and how can we improve it?”) and “crazy ideas” (“How would the database world look like if we drop this assumption?”, “And why did anyone ever make that assumption anyway?”).
Systems we work on
- GenericVC
- mutable
- Python DBMS
- Masterhorst (CS department's application system)
News
- (02/2025) new website goes online
- (01/2025) SIGMOD 2025: JD was invited for a panel on the future of database research
- (01/2025) paper accepted at SIGMOD 2025: Extending SQL to Return a Subdatabase
- (01/2025) in summer term 2025, we will offer a pro-seminar Gescheiterte Digitalisierung
- (11/2024) paper accepted at CIDR 2025: Generic Version Control: Configurable Versioning for Application-Specific Requirements