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An Experimental Analysis of Different Key-Value Stores and Relational Databases

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

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.

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Gembalczyk, David; Schuhknecht, Felix Martin; Dittrich, Jens (2017): An Experimental Analysis of Different Key-Value Stores and Relational Databases. Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-659-6. pp. 351-260. Cloud and Benchmarks. Stuttgart. 6.-10. März 2017

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