Ganza, SandyPsota, ThomasSchall, DanielHärder, TheoSeidl, ThomasRitter, NorbertSchöning, HaraldSattler, Kai-UweHärder, TheoFriedrich, SteffenWingerath, Wolfram2017-06-302017-06-302015978-3-88579-635-0Energy efficiency in databases is an emerging topic. Our research prototype WattDB dynamically adjusts the number of active servers in a cluster to the current workload to achieve energy proportionality. In this demo, we give insights in the partitioning process and WattDB's reaction to workload changes by live-presenting a monitoring GUI. The whole process and the resulting configuration are visualized to give immediate feedback, how the cluster would react.enText/Conference Paper1617-5468