Towards comprehensive database support for geoscientific raster data
GIS '97 Proceedings of the 5th ACM international workshop on Advances in geographic information systems
Efficient Execution of Operations in a DBMS for Multidimensional Arrays
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Finding Your Way through Multidimensional Data Models
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Storage of Multidimensional Arrays Based on Arbitrary Tiling
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
A Database Array Algebra for Spatio-Temporal Data and Beyond
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
An extendible multidimensional array system for MOLAP
Proceedings of the 2006 ACM symposium on Applied computing
Efficient Map Portrayal Using a General-Purpose Query Language
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
The array database that is not a database: file based array query answering in rasdaman
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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Storing multidimensional data in databases is an important topic both in the industrial and scientific database communities. Arrays are offered as a multidimensional data structure by most programming languages. Conventional database systems, however, do not support arrays of arbitrary dimensionality and base type. RasDaMan is a DBMS integrating arrays as a first class data type offering both a declarative query language and a specialised storage structure for arrays.The work presented here evaluates the performance of queries on multidimensional array data stored in RasDaMan versus storage in a conventional RDBMS. In the relational system, the data is both mapped to relations and stored directly as binary data in BLOBs. The queries executed were modelled after queries common in scientific applications and decision support.