The Architecture and Motivation for SciDB
SciDB is scientific computational database – a massively parallel, transactional, array-oriented, Database Management
System (DBMS). This paper presents a high level description of SciDB and explores the design of some of its critical
components in detail.
You will learn what SciDB does, how SciDB is implemented, and why these technical choices make SciDB excellent for
managing and analyzing large, diverse, quantitative data sets, especially machine-generated data – measurements and
observations from instruments, sensors, and other data acquisition or monitoring devices.
"What I think is so amazing about SciDB is that it in many ways it removes the technological hurdle to big
data analysis so that the only limitation is what ideas you can come up with."
Brock Peters Ph.D., Senior Director, Research, Complete Genomics
"Paradigm4 is a cool partner for Genestack because together we enable fast and flexible big data analytics for genomics."
Misha Kapushesky Ph.D., CEO, Genestack Limited"
"SciDB is cool because it allows me to focus on the analysis of my research rather than being distracted
by data management chores."
Kwo Sen Kuo Ph.D., Chief Scientist, Bayesics LLC, and Research Scientist, NASA
"On one side, there is data provided by vendors and collected by us that exists in various
formats. On the other side, there is a need for the analyst to test hypotheses and make conclusions. We
needed a solution that let us focus on analysis. That is where our expertise lies, and we turned to SciDB
to bridge the gap between the two sides and bring the data conveniently to the analyst."
Alex Nazaruk, Data Platform Architect, PDQ Enterprises