An Experimental Analysis of Different Key-Value Stores and Relational Databases
dc.contributor.author | Gembalczyk, David | |
dc.contributor.author | Schuhknecht, Felix Martin | |
dc.contributor.author | Dittrich, Jens | |
dc.contributor.editor | Mitschang, Bernhard | |
dc.contributor.editor | Nicklas, Daniela | |
dc.contributor.editor | Leymann, Frank | |
dc.contributor.editor | Schöning, Harald | |
dc.contributor.editor | Herschel, Melanie | |
dc.contributor.editor | Teubner, Jens | |
dc.contributor.editor | Härder, Theo | |
dc.contributor.editor | Kopp, Oliver | |
dc.contributor.editor | Wieland, Matthias | |
dc.date.accessioned | 2017-06-20T20:24:30Z | |
dc.date.available | 2017-06-20T20:24:30Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Nowadays, databases serve two main workloads: Online Transaction Processing (OLTP) and Online Analytic Processing (OLAP). For decades, relational databases dominated both areas. With the hype on NoSQL databases, the picture has changed. Initially designed as inter-process hash tables handling OLTP requested, some key-value store vendors have started to tackle the area of OLAP as well. Therefore, in this performance study, we compare the relational databases PostgreSQL, MonetDB, and HyPer with the key-value stores Redis and Aerospike in their write, read, and analytical capabilities. Based on the results, we investigate the reasons of the database’s respective advantages and disadvantages. | en |
dc.identifier.isbn | 978-3-88579-659-6 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik, Bonn | |
dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-265 | |
dc.subject | Relational Systems | |
dc.subject | Key-Value Stores | |
dc.subject | OLTP | |
dc.subject | OLAP | |
dc.subject | NoSQL | |
dc.subject | Experiments & Analysis | |
dc.title | An Experimental Analysis of Different Key-Value Stores and Relational Databases | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 260 | |
gi.citation.startPage | 351 | |
gi.conference.date | 6.-10. März 2017 | |
gi.conference.location | Stuttgart | |
gi.conference.sessiontitle | Cloud and Benchmarks |
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