Encyclopedia of Big Data Technologies

2019 Edition
| Editors: Sherif Sakr, Albert Y. Zomaya


  • Philippe Cudre-MaurouxEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-77525-8_271


SciDB is a distributed database management system for managing and processing multidimensional arrays in scientific applications. It was first designed and developed by a group of academics led by Michael Stonebraker before being productized by Paradigm4.


The first XLDB workshop (1st Extremely Large Databases Workshop 2007) in 2007 brought together a group of scientists and industry members to discuss the capabilities of database management systems (DBMSs) at managing non-relational data at extreme scales. A number of key shortcoming were identified, which were presented the following year at XLDB-2 (2nd Extremely Large Databases Workshop 2008). The lack of support for managing scientific data was in particular discussed. Consensus emerged that many Big Science projects presented unique challenges that could not be handled through generic DBMSs and would require a complete rewrite approach (Stonebraker et al. 2007).

As a result, a group of scientists led by Michael...
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  1. 1st Extremely Large Databases Workshop (2007) http://www-conf.slac.stanford.edu/xldb2007/
  2. 2nd Extremely Large Databases Workshop (2008) http://www-conf.slac.stanford.edu/xldb2008/
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  11. Stonebraker M, Madden S, Abadi DJ, Harizopoulos S, Hachem N, Helland P (2007) The end of an architectural era (it’s time for a complete rewrite). In: Proceedings of the 33rd international conference on very large data bases, University of Vienna, pp 1150–1160. http://www.vldb.org/conf/2007/papers/industrial/p1150-stonebraker.pdf
  12. Stonebraker M, Brown P, Poliakov A, Raman S (2011) The architecture of SciDB. In: Scientific and Statistical Database Management – proceedings of the 23rd international conference, SSDBM 2011, Portland, pp 1–16.  https://doi.org/10.1007/978-3-642-22351-8_1Google Scholar
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  14. Wu E, Madden S, Stonebraker M (2013) Subzero: a fine-grained lineage system for scientific databases. In: 29th IEEE international conference on data engineering, ICDE 2013, Brisbane, pp 865–876.  https://doi.org/10.1109/ICDE.2013.6544881

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Authors and Affiliations

  1. 1.eXascale InfolabUniversity of FribourgFribourgSwitzerland