Benchmarking triple stores with biological data

Details Benchmarking triple stores with biological data Benchmarking triple stores with biological data

2010-12-07

arxiv.org/abs/1012.1632v1

Computer Science

Databases

in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Wor

Scientific paper

We have compared the performance of five non-commercial triple stores, Virtuoso-open source, Jena SDB, Jena TDB, SWIFT-OWLIM and 4Store. We examined three performance aspects: the query execution time, scalability and run-to-run reproducibility. The queries we chose addressed different ontological or biological topics, and we obtained evidence that individual store performance was quite query specific. We identified three groups of queries displaying similar behavior across the different stores: 1) relatively short response time, 2) moderate response time and 3) relatively long response time. OWLIM proved to be a winner in the first group, 4Store in the second and Virtuoso in the third. Our benchmarking showed Virtuoso to be a very balanced performer - its response time was better than average for all the 24 queries; it showed a very good scalability and a reasonable run-to-run reproducibility.

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