*author names are in lexicographical order

For decades, database vendors have developed traditional database systems for different application domains with high-ly differing requirements. These systems are extended with additional functionalities to make them applicable for yet another data-driven domain. The database community ob-served that these “one size fits all ” systems provide poor per-formance for special domains; systems that are tailored for a single domain usually perform better, have smaller memory footprint, and less energy consumption. These advantages do not only originate from different requirements, but also from differences within individual domains, such as using a certain storage device. However, implementing specialized systems means to re-implement large parts of a database system again and again, which is neither feasible for many customers nor efficient in terms of costs and time. To overcome these limitations, we envision applying techniques known from software product lines to database systems in order to provide tailor-made and robust database systems for nearly every application scenario with reasonable effort in cost and time