Database Group (DB)
Data-intensive systems are crucial in modern computing, analytics, and data science. The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of big data. Current research in the DB group focuses primarily on problems in the management of massive graphs such as social networks, linked open data, financial networks, and biological networks.
Expertise within the group includes query language design and foundations, query optimization and evaluation, data analytics, data integration, and personalization. In addition to dissemination of research results in the leading scientific venues in the data management field, the DB group impacts the broader community through open-source software development, training and mentoring of early-career scientists, industrial R&D collaborations, and serving on international efforts such as the LDBC Graph Query Language Standardization Task Force.
DB group investigations into both the theory and engineering of data management systems are inspired by real-world application scenarios in close cooperation with public-sector and industrial research partners. Academic partners of the group range across leading research groups in Europe, Asia, and North America. Recent collaborators include Oracle Labs, Neo4j, University of Toronto, National University of Singapore, University of Lyon 1, and TU Dresden.