Benchmarking Bitemporal Database Systems: Ready for the Future or Stuck in the Past? Martin Kaufmann†§, Peter M. Fischer#, Norman May§, Donald Kossmann† †Systems Group #Albert-Ludwigs-Universität §SAP AG ETH Zürich, Switzerland Freiburg, Germany Walldorf, Germany {martinka,donaldk} peter.fi
[email protected] [email protected] @inf.ethz.ch freiburg.de ABSTRACT tremendous possibility for improved performance. As database After more than a decade of a virtual standstill, the adoption of vendors now provide implementations of such temporal data and temporal data management features has recently picked up speed, operators, a natural question is how well they actually perform for driven by customer demand and the inclusion of temporal expres- typical temporal workloads. sions into SQL:2011. Most of the big commercial DBMS now Since no generally accepted workload for the evaluation of tem- include support for bitemporal data and operators. In this paper, we poral DBMS exists, we developed a comprehensive benchmark perform a thorough analysis of these commercial temporal DBMS: proposal and presented it at TPCTC 2013 [11]. This benchmark We investigate their architecture, determine their performance and extends the TPC-H schema with a temporal component, provides study the impact of performance tuning. This analysis utilizes a definition of updates with well-defined data evolution as well our recent (TPCTC 2013) benchmark proposal, which includes a as a wide range of synthetic and application-oriented queries. It comprehensive temporal workload definition. The results of our therefore allows us to examine the functional coverage as well as analysis show that the support for temporal data is still in its in- the performance of different databases regarding temporal features.