Data management is a core component of many applications and modern IT stacks, even in times where cloud computing, data science, machine learning and AI receive more attention.Its role has evolved beyond the fundamental task of providing efficient and transparent access to large datasets. It now encompasses a growing number of systems and solutions tailored to specific application domains, data types and particularly new hardware such as network, storage and memory technologies, and accelerators.

In this talk, we will argue that novel and emerging hardware technologies present significant challenges and opportunities for database research. Drawing upon our experiences in the SPP 2037 priority program, we will provide an overview of relevant technologies for data management and discuss the merits and challenges of research in this field.

Kai-Uwe Sattler leads the Database and Information Systems group at the Department of Computer Science and Automation of the TU Ilmenau, Germany. He received his Diploma (M.Sc.) in Computer Science from the University of Magdeburg, Germany. In 1998, he received his Ph.D. in Computer Science (magna cum laude) from the same university.

From 1998 to September 2003 he was a member of the Database research group (head: Prof. Gunter Saake) at the University of Magdeburg. From October 2001 until March 2002, he worked as a visiting assistant professor at the UC Davis, U.S.A. During summer term 2002 he held a replacement professorship at the TU Dresden and during winter term 2002/3 at the University of Halle.

In June 2003, he received his Habilitation (venia legendi) in Computer Science from the University of Magdeburg. He joined the Department of Computer Science and Automation of the TU Ilmenau in October 2003 as Professor.

Kai-Uwe Sattler served as Dean of the Department from 2011 to 2017. From June 2017 to 2020 he served as Vice President for Research.

In December 2020 he was elected as President of the TU Ilmenau. From 2017 to 2024 he was also the coordinator of the priority program "Scalable Data Management for Future Hardware (SPP 2037)" funded by the DFG.