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

doi:10.1145/1807167.1807271

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

237 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 language	English (US)
Title of host publication	Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10
Pages	963-968
Number of pages	6
DOIs	https://doi.org/10.1145/1807167.1807271
State	Published - 2010
Event	2010 International Conference on Management of Data, SIGMOD '10 - Indianapolis, IN, United States Duration: Jun 6 2010 → Jun 11 2010

Publication series

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

Other

Other	2010 International Conference on Management of Data, SIGMOD '10
Country/Territory	United States
City	Indianapolis, IN
Period	6/6/10 → 6/11/10

Keywords

acm sigmod industrial proceedings scientific data management

ASJC Scopus subject areas

Software
Information Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/1807167.1807271

Cite this

Rogers, J., Simakov, R., Soroush, E., Velikhov, P., Balazinska, M., DeWitt, D., Heath, B., Maier, D., Madden, S., Patel, J., Stonebraker, M., Zdonik, S., Smirnov, A., Knizhnik, K., & Brown, P. G. (2010). Overview of SciDB: Large scale array storage, processing and analysis. In Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10 (pp. 963-968). (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/1807167.1807271

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Rogers, J, Simakov, R, Soroush, E, Velikhov, P, Balazinska, M, DeWitt, D, Heath, B, Maier, D, Madden, S, Patel, J, Stonebraker, M, Zdonik, S, Smirnov, A, Knizhnik, K & Brown, PG 2010, Overview of SciDB: Large scale array storage, processing and analysis. in Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10. Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 963-968, 2010 International Conference on Management of Data, SIGMOD '10, Indianapolis, IN, United States, 6/6/10. https://doi.org/10.1145/1807167.1807271

Overview of SciDB : Large scale array storage, processing and analysis. / Rogers, J.; Simakov, R.; Soroush, E. et al.

Proceedings of the 2010 International Conference on Management of Data, SIGMOD '10. 2010. p. 963-968 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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UN SDGs

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