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Many scientific fields routinely generate huge datasets. In many cases, these datasets are not static but rapidly grow in size. Handling these types of datasets, as well as allowing sophisticated queries necessitates efficient distributed database systems. In this paper we present the architecture, implementation and performance analysis of a scalable, distributed database system built on software based virtualization environments. The system architecture makes use of a software partitioning ofdoi:10.1109/escience.2008.35 dblp:conf/eScience/KimPG08 fatcat:ez2sdcji7nc5phk27yoyvqxun4