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= Welcome to rasdaman -- the world's most flexible and scalable Array Engine =
rasdaman ("__ras__ter __da__ta __man__ager") allows storing and querying massive multi-dimensional [http://en.wikipedia.org/wiki/Array arrays], such as '''sensor, image, simulation, and statistics data''' appearing in [wiki:ApplicationDomains domains] like '''earth, space, and life science'''. This worldwide leading array analytics engine distinguishes itself by its flexibility, performance, and scalability. Rasdaman can process arrays residing in file system directories as well as in databases.
In fact, rasdaman has pioneered [http://en.wikipedia.org/wiki/Array_DBMS Array Databases] being the first fully implemented, operationally used system with an array query language and optimized processing engine with unprecedented scalability. [http://www.earthserver.eu EarthServer], has established intercontinental fusion of Petabyte datacubes. See the [https://rasdaman.com/news.php latest news] for what has happened recently in the rasdaman and standardization universe!
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'''Wanna try?''' It's easy! First, for getting an impression of rasdaman you can try out hands-on: http://standards.rasdaman.com is a demonstration site showcasing rasdaman-enabled the Big Earth Data standards OGC WCS and WCPS in a variety of 1-D to 5-D geo use cases. Next, you can [wiki:Download download] readily configured VMs, RPMs, or - of course - compile rasdaman from source. 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].
'''Next-Generation Geo Raster Server'''. From simple geo imagery services up to complex analytics, rasdaman provides the whole spectrum of functionality on spatio-temporal raster data - both regular and irregular grids. And it does so with an unprecedented performance and scalability, as recent scientific benchmarks show. To leverage this enabling technology, users do not necessarily have to learn new interfaces: rasdaman [wiki:Clients integrates] smoothly with R, !OpenLayers, Leaflet, NASA !WorldWind, GDAL, !MapServer, ESRI ArcGIS, and many more.
[[Image(rasdaman-OGC-RI.png, link=wiki:News, align=right, valign=bottom, width=400)]] '''Makers of Big Data Standards'''.
Rasdaman is brought to you by the guys writing the Big Datacube standards, such as ISO DIS SQL/MDA (Multi-Dimensional Arrays), integrating n-D arrays seamlessly into relational world. This standard will be domain-independent and can serve all of Earth, Space, Life sciences, and beyond.
Further, rasdaman is the blueprint for '''Earth datacubes''' with [http://www.opengeospatial.org/standards/wcs OGC WCS] and [http://www.opengeospatial.org/standards/wcps WCPS], the OGC raster query language.
No surprise, rasdaman supports [http://www.opengeospatial.org OGC] [http://www.opengeospatial.org/standards/wms WMS], [http://www.opengeospatial.org/standards/wcs WCS] core and all extensions including [http://www.opengeospatial.org/standards/wcps WCS-T], [http://www.opengeospatial.org/standards/wcps WCPS], and [http://www.opengeospatial.org/standards/wps/ WPS].
Further, rasdaman is [wiki:InspireWcs INSPIRE WCS] reference implementation.
[[Image(copernicus-masters-winner-emblem.png, align=left, link=http://kahlua.eecs.jacobs-university.de/~lsis/#awards, width=110)]]
'''Worldwide Recognition'''.
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.
'''Game changing, disruptive technology'''. 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. 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'''.
== Support ==
The [http://www.jacobs-university.de/lsis Large-Scale Scientific Information Services research group] at [http://www.jacobs-university.de Jacobs University Bremen] is the core development team. Feel free to contact us!
A dedicated research spin-off company, [http://www.rasdaman.com rasdaman GmbH], provides software enhancements, expert consultancy, participation in projects, and joint ventures on a commercial basis to foster widespread use of rasdaman.
See also the [wiki:Support support page].
== Science ==
Interested in the scientific background? There is a [http://kahlua.eecs.jacobs-university.de/~lsis/publications.php host of publications] available.
== PS: Greetings to all [http://en.wikipedia.org/wiki/Rastafari_movement rastafarians]! ''wha'ppen, man?'' ==