Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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
2012.
Series
IT, 12 011
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-174542OAI: oai:DiVA.org:uu-174542DiVA: diva2:527658
Educational program
Master Programme in Computer Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-05-22 Created: 2012-05-22 Last updated: 2012-05-22Bibliographically approved

Open Access in DiVA

fulltext(1296 kB)1743 downloads
File information
File name FULLTEXT01.pdfFile size 1296 kBChecksum SHA-512
5a3b485fa7d7e9dcc96f56660a1a955146eabcacebab11a95ed928604cf2de7be9d8ffc0f28edc2e202ce7a81d9bd17146e88cfd5903876199a034d0c359f366
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 1743 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1029 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf