D4M

Software Summary

Mesabi

Default Module: 

R2014a

Other Modules Available: 

R2017b, R2010b, R2011a, R2011b, R2019a, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On: 

Thursday, October 3, 2019

Itasca

Default Module: 

R2014a

Other Modules Available: 

R2017b, R2010b, R2011a, R2011b, R2019a, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On: 

Thursday, October 3, 2019

Lab

Default Module: 

R2014a

Other Versions Available: 

R2017b, R2010b, R2011a, R2011b, R2019a, R2012a, R2016b, R2012b, R2015b, R2013a, R2015a, R2013b, R2014b, R2014a

Last Updated On: 

Thursday, October 3, 2019

Windows

Default Module: 
Other Versions Available: 
Last Updated On: 

Thursday, October 3, 2019

Web App

Default Version: 
Other Versions Available: 
Last Updated On: 
Last Updated On: 

Thursday, October 3, 2019

Support Level: 
Secondary Support
Software Access Level: 
Open Access
Software Categories: 
Data Mining
Database Systems
Database
Software Description

D4M attempts to combine the advantages of five distinct processing technologies (sparse linear algebra, associative arrays, fuzzy algebra, distributed arrays, and triple-store/NoSQL databases such as Hadoop HBase and Apache Accumulo) to provide a database and computation system that addresses the problems associated with Big Data.

Software Documentation

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