Big Data - State of the Art

Sean Chalmers (1, 2, 3) , Cécile Bothorel (1, 3) , Romain Picot Clemente (1, 3)

1 LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information
2 QUT - Queensland University of Technology [Brisbane]
3 Lab-STICC_TB_CID_DECIDE

This report is an investigation into the current state of the art with respect to "Big Data" frameworks and libraries. The primary purpose of this report is to investigate some of the available processing and analytical frameworks and/or libraries, identify some of their strengths and weaknesses through the application of a set of criteria. This criteria can then be used to compare other frameworks, systems, or libraries that are not present here to enable rapid and objective comparison.

Mots clés: Big data; Comparison of tools; Strengths and weaknesses; Frameworks and libraries

Domaines: Architectures Matérielles [cs.AR]; Calcul parallèle, distribué et partagé [cs.DC]; Informatique et langage [cs.CL]

Sean Chalmers, Cécile Bothorel, Romain Picot Clemente. Big Data - State of the Art. 2013, pp.28. ⟨hal-00903966⟩