Overview of SciDB: Large scale array storage, processing and analysis

J. Rogers*, R. Simakov, E. Soroush, P. Velikhov, M. Balazinska, D. DeWitt, B. Heath, D. Maier, S. Madden, J. Patel, M. Stonebraker, S. Zdonik, A. Smirnov, K. Knizhnik, Paul G. Brown

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

210 Scopus citations

Abstract

SciDB [4, 3] is a new open-source data management system intended primarily for use in application domains that involve very large (petabyte) scale array data; for example, scientific applications such as astronomy, remote sensing and climate modeling, bio-science information management, risk management systems in financial applications, and the analysis of web log data. In this talk we will describe our set of motivating examples and use them to explain the features of SciDB. We then briefly give an overview of the project 'in flight', explaining our novel storage manager, array data model, query language, and extensibility frameworks.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 International Conference on Management of Data, SIGMOD '10
Pages963-968
Number of pages6
DOIs
StatePublished - 2010
Event2010 International Conference on Management of Data, SIGMOD '10 - Indianapolis, IN, United States
Duration: Jun 6 2010Jun 11 2010

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

Other2010 International Conference on Management of Data, SIGMOD '10
Country/TerritoryUnited States
CityIndianapolis, IN
Period6/6/106/11/10

Keywords

  • acm sigmod industrial proceedings scientific data management

ASJC Scopus subject areas

  • Software
  • Information Systems

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