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= Welcome to rasdaman -- the world's most flexible and scalable Array / Datacube Engine =
rasdaman ("__ras__ter __da__ta __man__ager")  allows management and analytics of massive multi-dimensional [http://en.wikipedia.org/wiki/Array arrays] ("[http://en.wikipedia.org/wiki/Data_cube datacubes]") such as '''sensor, image, simulation, and statistics data''' appearing in [wiki:ApplicationDomains domains] like Earth, Space, and Life sciences; in particular its flexibility, performance, scalability, and open standards support make rasdaman stand out.
From simple geo imagery services up to complex analytics, rasdaman provides the whole spectrum of functionality on spatio-temporal raster data - on space and time, on regular and irregular grids. While using your well-known [wiki:Clients clients], from Leaflet over NASA !WorldWind and QGIS to R and python. Actionable datacubes from the inventors - in fact, rasdaman has pioneered [http://en.wikipedia.org/wiki/Array_DBMS Array Databases]. Much has happened since then - see the [https://rasdaman.com/news.php latest news] for what has happened recently in the rasdaman and standardization universe!

'''Wanna try?''' It's easy! Just go to the [http://standards.rasdaman.com datacube playground]. Or [wiki:Download download] readily configured VMs, RPMs, or - of course - the source code. For each step, there is [http://rasdaman.org/wiki/Documentation ample documentation] available, as well as [http://rasdaman.org/wiki/Support professional support], including dedicated [http://rasdaman.org/wiki/MailingLists mailing lists] gathering more than 300 members as of 2019. And then, we so much appreciate that you cite rasdaman with its DOI https://doi.org/10.5281/zenodo.1040170 !

[[Image(TechConnect-Award-Logo_FREIGESTELLT.png, align=left, link=http://kahlua.eecs.jacobs-university.de/~lsis/#awards, width=110)]]
'''Worldwide Recognition'''. Independent experts unanimously attested that, based on "proven evidence", rasdaman will "significantly transform the way scientists access and use data in a way that hitherto was not possible". 
A continuous series of international innovation awards recognizes rasdaman's lead in datacube analytics. US CIO Review [http://bigdata.cioreview.com/vendor/2016/rasdaman has picked rasdaman] into their [http://bigdata.cioreview.com/vendors/most-promising-bigdata-solution-providers-2016.html Most Promising Big Data Technologies]. rasdaman is official OGC and [wiki:InspireWcs INSPIRE] WCS Reference Implementation and [http://geossregistries.info/geosspub/resource_details_ns.jsp?compId=urn:geoss:csr:resource:urn:uuid:e8d4eb7b-4681-4f71-9e34-0f78cf10ce92 listed in the GEOSS Component and Service Registry]. Finally, rasdaman is included in the [wiki:OSGeoLiveGetStarted OSGeo Live DVD]) of particularly recommended open-source geo tools.

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          "top 10% of all project teams on Open Hub",<br/>
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'''Makers of Big Data Standards'''. Based on its unparalleled experience the rasdaman team is [wiki:Standards leading Big Datacube standardization] in OGC and ISO shaping and driving the coverage and SQL datacube standards, often chairing the groups. 
The rasdaman array query language forms the blueprint for the [https://www.iso.org/standard/67382.html ISO Array SQL] and [http://en.wikipedia.org/wiki/Web_Coverage_Processing_Service OGC WCPS] datacube analytics standards. 

'''Science.''' Interested in the scientific background? There is a [http://kahlua.eecs.jacobs-university.de/~lsis/publications.php host of publications] available. Research and innovation is in our DNA - contact us for collaborations!

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'''PS: Greetings to all [http://en.wikipedia.org/wiki/Rastafari_movement rastafarians]! ''wha'ppen, man?'' '''