A Benchmark for Multidimensional Statistical Data

Conference contribution

Publication Details

Author(s): Baumgärtel P, Endler G, Lenz R
Title edited volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer-verlag
Publishing place: Berlin
Publication year: 2013
Conference Proceedings Title: Advances in Databases and Information Systems
Pages range: 358-371
ISBN: 978-3-642-40682-9
ISSN: 0302-9743


ProHTA (Prospective Health Technology Assessment) is a simulation project that aims at estimating the outcome of new medical innovations at an early stage. To this end, hybrid and modular simulations are employed. For this large scale simulation project, efficient management of multidimensional statistical data is important. Therefore, we propose a benchmark to evaluate query processing of this kind of data in relational and non-relational databases. We compare our benchmark with existing approaches and point out differences. This paper presents a mapping to a flexible relational model, JSON documents and RDF. The queries defined for our benchmark are mapped to SQL, SPARQL, the MongoDB query language and MapReduce. Using our benchmark, we evaluate these different systems and discuss differences between them. © 2013 Springer-Verlag.

FAU Authors / FAU Editors

Baumgärtel, Philipp
Lehrstuhl für Informatik 6 (Datenmanagement)
Endler, Gregor
Lehrstuhl für Informatik 6 (Datenmanagement)
Lenz, Richard Prof. Dr.-Ing.
Professur für Informatik (Datenbanksysteme)

How to cite

Baumgärtel, P., Endler, G., & Lenz, R. (2013). A Benchmark for Multidimensional Statistical Data. In Advances in Databases and Information Systems (pp. 358-371). Genoa, Italy, IT: Berlin: Springer-verlag.

Baumgärtel, Philipp, Gregor Endler, and Richard Lenz. "A Benchmark for Multidimensional Statistical Data." Proceedings of the ADBIS 2013 Conference, Genoa, Italy Berlin: Springer-verlag, 2013. 358-371.


Last updated on 2018-19-04 at 02:52