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Performance of native SPARQL query processors
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Expressing data in RDF is one approach for making data available as Linked Data on the Web. Searching such data requires an RDF database engine providing some query language. The standard query language for RDF is called SPARQL. An RDF database engine can either be a middleware on top of an existing (relational) database or a native RDF store having its own internal data repository. Organizations often have difficulties to decide which solution they should adopt because there are few comprehensive comparisons of existing native RDF stores with respect to performance and scalability. The Berlin Benchmark provides a framework for comparing the performance different implementations of SPARQL engines in general. We have made a performance comparison between some existing RDF store""solutions based on the Berlin benchmark and summarize their performance outcomes with respect to load and query time. The RDF stores OpenLink Virtuoso, and AllegroGraph are compared. Furthermore  we also evaluate the performance of the general graph database Neo4j with the general SPARQL processor Squirrel on top. As a base-line for middleware solutions we also compare with Jena SDB, running of top of MySQL.

Place, publisher, year, edition, pages
IT, 12 011
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-174542OAI: diva2:527658
Educational program
Master Programme in Computer Science
Available from: 2012-05-22 Created: 2012-05-22 Last updated: 2012-05-22Bibliographically approved

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