Assessment of Data Management Systems

Assessment of Data Management Systems

(Own Funds)

Project leader: Klaus Meyer-Wegener
Project members: Julian Rith
Start date: 01/09/2014
End date: 31/12/2018
Acronym: DAMSEL

Abstract

In addition to the classic application in business and administration, data-storage systems are increasingly gaining acceptance in other scenarios, namely in Web applications and in mobile apps. Next to the established relational database systems, data-storage systems with alternative, often simplified data models are used. These systems, which are coined "NoSQL" systems, are mostly created in isolation. They offer much less functionality, but are more scalable instead and show higher availablity than relational database systems.

The project deals with the assessment and subsumption of non-relational systems. The classification derived from that is to help users in the decision on such a system.

Benchmarks are useful in the assessment of system properties. The project will therefore analyse existing benchmarks and extend them as required.

Publications

• Rith J., Lehmayr PS., Meyer-Wegener K.:
  Speaking in Tongues: SQL Access to NoSQL Systems
  Database Theory, Technology and Applications (DTTA) Track (Gyeongju, Korea)
  In: Proc. 29th ACM Symp. on Applied Computing (SAC) 2014
  DOI: 10.1145/2554850.2555099
  BibTeX: Download