HyperRoll Announces Time Series Analytics Solution

* Reuters is not responsible for the content in this press release.

Tue Sep 2, 2008 9:01am EDT

Enables high-performance, flexible analysis of large consumer data warehouses

MOUNTAIN VIEW, Calif., Sept. 2 /PRNewswire/ -- HyperRoll, Inc., the
leading provider of Data Performance Management software, today announced the
general availability of its new HyperRoll Time Series Solution.  Based upon
its industry leading Data Performance Management Suite(TM), the Time Series
Solution dramatically improves time-series analysis performance, flexibility
and ease-of-use for enterprises with terabyte-class and larger data
warehouses.
    Time series analyses are common and often critical for enterprises,
especially those that conduct large volumes of transactions with consumers.
Understanding trends, seasonal changes, sales rates, and inventory turns are
all fundamental time-series metrics used to drive successful consumer focused
businesses.  For many enterprises, these analyses must be conducted against
data stored in relational databases and not in multi-dimensional databases due
to the large data size -- terabytes or more.  While good at managing this
data, relational database management systems have relatively poor support for
time series analyses.  Query response times can take hours or even days.
Creation of time series queries requires understanding of arcane SQL language
syntax.  In some cases, the desired time series query is impossible.
    HyperRoll's Time Series Analytics solution overcomes these performance and
complexity limitations.  Query response times are as fast as queries to stored
aggregates and typically sub-second.  Queries are simplified because of
built-in support for time series analytics.  Users only need simple SQL for
their queries.  Time series metrics are defined as part of the HyperRoll DPM
data model using a simple declarative syntax.  Virtually any kind of time
dimension hierarchies are supported; including, fiscal calendars, 12/13 period
calendars, 52/53 week periods, etc. Example analytics include cumulative
current period-to-date, cumulative last n periods-to-date, and last period
compared to this period.  Businesses can license the solution as an option to
HyperRoll's leading Data Performance Management suite.
    "HyperRoll's Time Series Solution is more effective than what we've seen
in relational databases by far," said Michael Bealmear, CEO of HyperRoll.  "We
have the best architecture to provide time series analytics performance and
simplicity simultaneously."
    About HyperRoll, Inc.
    HyperRoll, Inc., the world's leading provider of data warehouse
performance acceleration software, is dedicated to improving the performance,
availability and value of business data.  Its HyperRoll Data Performance
Management Suite sets new standards for load and query performance, data
change agility and data availability for data warehouses.  The suite also
significantly reduces the administrative, hardware and software costs of the
data warehouse.  Customers include industry-leading organizations such as
Target, Kellogg's, MasterCard, and Woolworths.  HyperRoll has worldwide
headquarters in Mountain View, California.  For more information, visit
http://www.hyperroll.com.
SOURCE  HyperRoll, Inc.

Eric Rogge, VP Marketing of HyperRoll, Inc., +1-650-265-2114,
eric.rogge@hyperroll.com
Comments (0)
This discussion is now closed. We welcome comments on our articles for a limited period after their publication.