Autometrics
ParAccel PADB and NetApp SAN Optimized Solution High Performance Analytics with Advanced Data Management Capabilities
Download Case Study
Merkle
Rapidly accumulating business intelligence data presents an amazing opportunity for all types of corporations. But “big data” can be overwhelming—and analyst firm IDC predicts this data will multiply by 44 times over the next decade, so it won’t get any easier to make sense of.
Financial institutions in particular need high-performance analytic databases more than ever. Rapidly changing markets, new regulations, new investment options, and new market opportunities must be constantly and rapidly analyzed for new insights with risk analysis, which relies on terabytes and petabytes of historical data. This requires the superior performance delivered by today’s analytic databases.
Download Case Study
SecureAlert
Rapidly accumulating business intelligence data presents an amazing opportunity for all types of corporations. But “big data” can be overwhelming—and analyst firm IDC predicts this data will multiply by 44 times over the next decade, so it won’t get any easier to make sense of.
Financial institutions in particular need high-performance analytic databases more than ever. Rapidly changing markets, new regulations, new investment options, and new market opportunities must be constantly and rapidly analyzed for new insights with risk analysis, which relies on terabytes and petabytes of historical data. This requires the superior performance delivered by today’s analytic databases.
Download Case Study
Global Investment Bank
ParAccel has continued its attempts to differentiate itself in a crowded market by focusing its analytic-database products on high-performance analytics workloads. With version 3.0 of the ParAccel Analytic Database (PADB), the company has added in-database analytics capabilities that are due to be extended over the next year.
Download Case Study
OfficeMax
This report examines the rise of “big data” and the use of analytics to mine
that data. Companies have been storing and analyzing large volumes of data
since the advent of the data warehousing movement in the early 1990s. While
terabytes used to be synonymous with big data warehouses, now it’s petabytes,
and the rate of growth in data volumes continues to escalate as organizations
seek to store and analyze greater levels of transaction details, as well
as Web- and machine-generated data, to gain a better understanding of customer
behavior and drivers.
Download Case Study
Copyright © 2012 ParAccel Inc. All Rights Reserved.
