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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. Known rasdaman databases exceed dozens of TB; [http://www.earthserver.eu EarthServer], is establishing intercontinental fusion of Petabyte datacubes.
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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 and Success'''.
In 2016, US CIO Review [http://bigdata.cioreview.com/vendor/2016/rasdaman picks rasdaman] into their [http://bigdata.cioreview.com/vendors/most-promising-bigdata-solution-providers-2016.html 100 Most Promising Big Data Technologies].
rasdaman is official OGC and [wiki:InspireWcs INSPIRE] WCS Reference Implementation. Further, rasdaman is [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'''. During a thorough review in Fall 2014, 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'''. In 2014, rasdaman was selected sole [http://www.copernicus-masters.com/index.php?kat=winners.html&anzeige=winner_t-systems2014.html winner of Big Data Challenge] in the worldwide [http://www.copernicus-masters.com/ Copernicus Masters] competition, underlining its maturity and scalability. This is along a [http://kahlua.eecs.jacobs-university.de/~lsis/#awards chain of innovation awards] rasdaman continues to receive. See also the [http://www.ohloh.net/p/rasdaman listing on OpenHub] for the business value of the rasdaman open source code. In 2017, The European Space Agency (ESA) recognizes rasdaman as "the world-leading technology in this field".
== News ==
* August 2017 -- rasdaman with datacube show and WCS trainings at INSPIRE 2017 Conference
* August 2017 -- Agro-Geoinformatics with rasdaman: EOfarm.com in Greece, !BigPicture project in Germany
* August 2017 -- rasdaman Principal Architect elected chair of IEEE Earth Science Informatics Group
* March 2017 -- rasdaman folks are giving an RDA Webinar on Datacubes as an Enabling "Big Data" Paradigm
* March 2017 -- the ISO SQL MDA (Multi-Dimensional Arrays) candidate standard is sent out for ballot, following months of hard work on the details
* October 2016 -- the rasdaman team hosts an ISO meeting for finalizing the ISO SQL MDA (Multi-Dimensional Arrays) standards draft
* September 2016 -- rasdaman presented at INSPIRE conference in Barcelona as official INSPIRE WCS Reference Implementation picked by the INSPIRE Drafting Team
* July 2016 -- US CIO Review [http://bigdata.cioreview.com/vendor/2016/rasdaman picks rasdaman] into their [http://bigdata.cioreview.com/vendors/most-promising-bigdata-solution-providers-2016.html 100 Most Promising Big Data Technologies]
* [wiki:News more news] and [http://rasdaman.com/news.php even more news]
== Download, Documentation ==
Go to the [wiki:Download Download page] for instructions. There is ample [wiki:Documentation documentation], including query and programming examples (check out our [Workshops/BigDataRasdamanApproach tutorial] on spatio-temporal data with rasdaman too).
== 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?'' ==