NoSQL Databases for RDF: An Empirical Evaluation

P. Cudré-Mauroux, I. Enchev, S. Fundatureanu, P.T. Groth, A. Haque, A. Harth, F. L. Keppmann, D. Miranker, J. Sequeda, M. Wylot

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Processing large volumes of RDF data requires sophisticated tools. In recent years, much effort was spent on optimizing native RDF stores and on repurposing relational query engines for large-scale RDF processing. Concurrently, a number of new data management systems-regrouped under the NoSQL (for "not only SQL") umbrella-rapidly rose to prominence and represent today a popular alternative to classical databases. Though NoSQL systems are increasingly used to manage RDF data, it is still difficult to grasp their key advantages and drawbacks in this context. This work is, to the best of our knowledge, the first systematic attempt at characterizing and comparing NoSQL stores for RDF processing. In the following, we describe four different NoSQL stores and compare their key characteristics when running standard RDF benchmarks on a popular cloud infrastructure using both single-machine and distributed deployments. © 2013 Springer-Verlag.
Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2013
Subtitle of host publication12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings
Pages310-325
Number of pages16
Volume2
ISBN (Electronic)9783642413384
DOIs
Publication statusPublished - 2013
EventInternational Semantic Web Conference -
Duration: 1 Jan 20131 Jan 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume8219
ISSN (Print)0302-9743

Conference

ConferenceInternational Semantic Web Conference
Period1/01/131/01/13

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