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HyCube Technologies seeks to be the world's leading software vendor
for the next generation of data warehousing. Founded in June 2000,
HyCube is revolutionizing data warehousing with its proprietary technology
specifically designed to support "exploration" warehousing. Exploration
Warehouse solutions are the next wave in Analytical Processing tools,
allowing rapid loading and exploration of data without careful preparation.
The HyCube data engine is engineered to provide extremely rapid
and economical database queries on very large datasets. It avoids
much of the heavy preparation work that exhaust most organizations
trying to implement large scale Decision Support Systems, Data Warehouses,
and Data Marts. It offers the analytical capabilities of a Multi-Dimensional
Database without preparing schemas and expensive disk arrays. These
benefits are achieved based upon three key technologies, Vertical
Data Storage, Bi-Fold Bit-Mapping, and Token-Based Data Structure
that perform sophisticated analysis of large database efficiently
and cost effectively.
HyCube HQ PRO is a time-to-market solution for any organization
with rapidly changing requirements and large volumes of data to
analyze. HQ LITE is an economical version of HQ PRO
designed to serve the same needs for medium and small businesses
and gain the loyalty of independent researchers. The technological
features also form the basis for development of vertical market
tools called HQ ISS Industry Specific Solutions. Similarly,
HQ SMT, a Semantic Matching and Transformation tool, can resolve
long-standing data problems in Data Warehousing and Data Mining
preparation, data application systems development, and data migration.
Exploration Warehouse is a data warehouse or data mart intended
specifically for users who need to make truly "ad hoc" queries and
"anything goes" exploratory analysis. It's meant for advanced analysts
and power users whose data analysis needs go beyond the canned reporting
and analysis capabilities of mainstream warehouses. Power users
need quick and ready access to current and historical data. They
cannot tolerate restrictions on their queries on their dynamic world
of OLAP (On Line Analytical Processing), data mining, and other
business intelligence applications. Exploration warehousing gives
users opportunities to explore cleaner, better defined data in ways
previously unimaginable, finally delivering on the promise to put
useful information into the hands of the executives and employees.
Sounder, more accurate decisions will result.

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