Europe
UK : CopperEye, an innovator in enterprise search software that delivers
order-of-magnitude performance improvements and cost savings, today
announced that Vodafone has successfully implemented CopperEye Greenwich
as a component of their solution to better analyse probing data from
their General Packet Radio Service (GPRS) switches -- a mobile data
service available to users of GSM mobile phones.
"CopperEye
was a key enabler of Vodafone UK's ability to quickly demonstrate
the value of capturing and analysing high-volume GPRS probe data,"
said Derek Johnston Head of Service and Performance Management for
Vodafone. "We were able to implement CopperEye in less than two
weeks for access to terabytes of data - something that would have
been too costly and taken too much time and resources to implement
using a relational database."
The data of interest
to Vodafone UK is generated directly from the GPRS network elements
and contains information on connections, disconnections, what services
were used, websites visited, starting portal and any problems experienced
throughout the data call. These records are created at a rate of 300
million transactions per day, with a business need to save at least
30 days for analysis. The roll CopperEye plays in the solution is
allowing the data to be captured and saved on a low-cost file system,
and then quickly retrieved using CopperEye without the need for a
database.
"Our work
with Vodafone is a clear example of how taking an enterprise search
approach to accessing large volumes of transaction data, rather than
the typical approach of using a database, pays great dividends in
shorter implementation time and higher performance," said Kate
Mitchell, CEO of CopperEye. "Vodafone UK was able to implement
Greenwich in a matter of weeks for more than a billion records, and
expanding the volume of data is as simple as adding additional disk
drives."
CopperEye Greenwich
is currently available on all tier-one UNIX platforms. Pricing is
determined by the number of rows of data under management and is tailored
to each customer environment. Pricing typically represents a 75-80
percent reduction in the cost of hardware and software for traditional
commercial database approaches of comparable performance.