Project Summary
rasdaman is the pioneer Array DBMS enabling Big Datacube Analytics on spatio-temporal sensor, image, simulation, and statistics data through a high-level declarative datacube query language. Frontends supported include Leaflet, QGIS, ArcGIS, Python, R, openEO, and many more.
Client-side parts are LGPL for free use of rasdaman in open and closed applications; the server (a separate process) is GPL, implementing "life is a give and take".
rasdaman community has been forked into open-source by rasdaman GmbH (dual-licence) and is co-led by Constructor University, the makers of Big Datacube standards: ISO Array SQL, ISO 19123-x, OGC CIS, WCS, and WCPS. rasdaman is official OGC Reference Implementation, official EU INSPIRE Good Practice and part of OSGeo Live.
In a Nutshell, rasdaman...
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has a well established, mature codebase
maintained by a average size development team
with stable Y-O-Y commits -
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took an estimated 192 years of effort (COCOMO model)
starting with its first commit in April, 2009
ending with its most recent commit 14 days ago
Quick Reference
GNU General Public License v3.0 or later
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Include Copyright
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
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