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dc.contributor.authorJibril, Muhammad Attahir
dc.contributor.authorBaumstark, Alexander
dc.contributor.authorSattler, Kai-Uwe
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T14:00:04Z
dc.date.available2023-02-23T14:00:04Z
dc.date.issued2023
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/40357
dc.description.abstractGraph databases are gaining increasing relevance not only for pure analytics but alsofor full transactional support. Business requirements are evolving to demand analytical insights onfresh transactional data, thereby triggering the emergence of graph systems for hybrid transactional-analytical graph processing (HTAP). In this paper, we present our ongoing work on GTPC, a hybridgraph benchmark targeting such systems, based on the TPC-C and TPC-H benchmarks.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectBenchmarking
dc.subjectGraph HTAP
dc.subjectGraph Databases
dc.titleGTPC: Towards a Hybrid OLTP-OLAP Graph Benchmarken
dc.typeText/Conference Paper
dc.identifier.doi10.18420/BTW2023-05
gi.conference.locationDresden, Germany
gi.conference.date06.-10. März 2023
gi.citation.startPage105
gi.citation.endPage117
gi.citation.publisherPlaceBonn


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