XDB: a novel database architecture for data analytics as a service

Authors:
Carsten Binnig;Abdallah Salama;Alexander C. Müller;Erfan Zamanian;Harald Kornmayer;Sven Lising
Affiliations:
University of Mannheim;University of Mannheim;University of Mannheim;DHBW Mannheim;DHBW Mannheim;GSRN Mannheim
Venue:
Proceedings of the 4th annual Symposium on Cloud Computing
Year:
2013

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Abstract

Parallel database systems are major platforms for supporting analytical queries over large data sets. However, in order to offer SQL-like services for data analytics in the cloud, providers such as Amazon and Google do often build their own systems (e.g., BigTable). One reason is that existing database systems do not fulfill important requirements such as elasticity and fine-grained fault-tolerance. In this poster, we present XDB [2, 3], a parallel database system which implements two novel concepts: (1) a partitioning scheme that supports elasticity with regard to data and queries, and (2) a fine-grained fault-tolerance scheme for short- and long-running queries.