Providing scalable, cost-effective, direct
access to relational data throughout its useful lifecycle - page 3
StorHouse/RM Features
Customers typically use StorHouse/RM as an active archive for scientific,
or research, data or as a relational database extension system for
aged data with mid-to-low-level access requirements. StorHouse/RM:
Executes on HP-UX, Solaris, and AIX platforms to accommodate
different customer standards
Scales to multiple petabytes with no performance degradation
through a patented automatic partitioning, or segmentation,
scheme
Supports industry-standard interfaces such as ODBC, ESQL, and
SQL
Provides extremely fast load and index rates, including building
200K index entries per second per stream
Utilizes unique range indexes on RAID for quicker access to
relational data
Supports FTP and SQL for bulk loading and bulk query
unloading
Provides an EXPLAIN facility for analyzing query operation
Journals and restores database activities that affect metadata
Optimizes performance by minimizing MAID spin-cycles, serializing
tape accesses, and minimizing volume mounts
Merges, or coalesces, small segments into larger ones to enhance
query performance
Supports a graphical user interface (GUI) for easy database
administration
StorHouse/RM Benefits
As a database extension system for critical aged
data, StorHouse/RM enables highly available, cost-effective relational
archives that satisfy enterprise-wide ILM and compliance requirements.
With the SAP interface to StorHouse, StorHouse/RM
is rapidly becoming the standard for relational archives. StorHouse/RM
improves how SAP/BW users access aged data and the overall performance
of their primary database systems.
StorHouse/RM connects to Oracle, DB2/UDB, and Microsoft
SQL Server databases through link interfaces. Once links are defined,
users can direct queries to these databases and, when required,
direct sub-queries to StorHouse to federate (UNION) the results.
This capability provides improved performance and faster access
to critical data.
In addition, StorHouse/RM:
Transcends scalability limitations of traditional
data warehouses
Distributes data cost-effectively throughout
an automatically managed virtual storage hierarchy
Simplifies implementation by combining multiple
technologies into one integrated product
Provides the tools technologists need to build,
store, and manage petabytes of data in a format easily accessible
by a worldwide database community
For More Information
FileTek, Inc.
9400 Key West Avenue
Rockville, MD 20850
Phone: 301-251-0600
E-mail: info@filetek.com
