Array DBMS: Difference between revisions

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For the special case of [[sparse matrix|sparse data]], [[OLAP]] data cubes are well established; they store cell values together with their ___location{{snd}} an adequate compression technique in face of the few locations carrying valid information at all{{snd}} and operate with SQL on them. As this technique does not scale in density, standard databases are not used today for dense data, like satellite images, where most cells carry meaningful information; rather, proprietary ad-hoc implementations prevail in scientific data management and similar situations. Hence, this is where Array DBMSs can make a particular contribution.
 
Generally, Array DBMSs are an emerging technology. While operationally deployed systems exist, like [[Oracle Spatial|Oracle GeoRaster]], [[Postgis|PostGIS 2.0]] and [[rasdaman]], there are still many open research questions, including query language design and formalization, query optimization, parallelization and [[distributed processing]], and scalability issues in general. Besides, scientific communities still appear reluctant in taking up array database technology and tend to favor specialized, proprietary technology.
 
== Concepts ==