SAND Analytic Platform provides a foundation for unparalleled simplicity, flexibility, and performance. SAND implements patented tokenized, bit-array encoded data storage and processing techniques, enabling astonishing performance and highly efficient use of standard hardware, network, and human resources. SAND’s Infinite Optimization ensures every query performs as though specifically tuned for each query, every time. Operational within hours, SAND delivers instant availability and high performance from the moment it’s loaded, for immediate user access and quick response to changing business requirements.
Column orientation
SAND is a true column database decomposing its tables into columns. SAND involves only those columns pertinent to the operation. In contrast, other technologies add significant overhead by indexing the columns that are most frequently involved in the database operations of a particular application.
Tokenization
SAND Analytics is unique in its use of a column/domain data organization. While of “dictionaries” are used in other column database systems, SAND’s Analytics uses column-level granularity rather than the page-level granularity found in other systems. SAND’s approach delivers self-encoding integer data for superior performance and compression ratios.
Bit-array encoding
SAND Analytics uses encoded bit vectors to achieve speed and space advantages. With SAND Analytics operations are executed directly on encoded bit vectors, with no decoding required. SAND’s unique inverted-index column architecture handles both database operations and text search operations in a uniform way. Together, these features ensure that SAND is the most efficient analytic database using resources delivering optimal performance and scalability.
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“One of the most powerful advances since the inception of computers.” – Bill Inmon, father of the Data Warehouse
