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A Comparison of MapReduce and Parallel Database Management Systems

Authors:
Alan McClean
Raquel C. Conceicao
Martin O'Halloran

Keywords: MapReduce Parallel Database Management Systems

Abstract:
Businesses have come to rely on their data warehouse as a key component in their Information Technology infrastructure. The costs of the architecture to support these environments are significant. Therefore, choosing the wrong architecture can be a very costly decision. However, considerable confusion exists in relation to MapReduce and Parallel Database Management Systems (DBMS). In the past, MapReduce has been presented as a replacement for the Parallel Database Management Systems, as an additional tool that works alongside the Parallel DBMS, but also as an inferior tool by others. This paper will consider the broader themes of the paradigms rather than the specific implementations of MapReduce and Parallel DBMS. It will discuss MapReduce and Parallel Database Management Systems as competing and complimentary paradigms. The aim of this paper is to provide a high-level comparison between MapReduce and Parallel DBMS, providing a selection of criteria which can be used to choose between MapReduce and Parallel DBMS for a particular enterprise application.

Pages: 64 to 68

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-246-2

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013