Analyst Reports
Enterprise Strategy Group
Lab Validation Report:
ParAccel PADB and NetApp SAN Optimized Solution
ParAccel PADB and NetApp SAN Optimized Solution High Performance Analytics with Advanced Data Management Capabilities
TDWI
What Works in Enterprise Business Intelligence
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.
TDWI Best Practices
Big Data Analytics
According to TDWI survey data, a new flood of user organizations is currently commencing or expanding
solutions for analytics with big data. To supply the demand, vendors have recently released numerous new products
and functions, specifically for advanced forms of analytics (beyond OLAP and reporting) and analytic databases that
can manage big data. While it’s good to have options, it’s hard to track them and determine in which situations they
are ready for use.
The purpose of this report is to accelerate users’ understanding of the many new tools and techniques that have emerged for analytics with big data in recent years. It will also help readers map newly available options to realworld use cases.
David M. Raab
Breaking the Business Intelligence Log Jam
Labor is by far the largest cost in any business intelligence project: nearly 60% according to some estimates. But the actual “keyboard time” to configure a system is minimal. All the work goes into deciding what that configuration should be.
Blue Buffalo Group
Enabling the Analytics-Driven Business:
How Parallel, Columnar Database Technologies Power Operations Management
From e-mail to e-commerce, we have all seen the impact of disruptive technology on how organizations communicate and view information. The corresponding change in the pace of business means that businesses must now run at Gigabit, or greater, speeds and amass volumes of information that were previously impractical. This heightened speed of business is resulting in a new wave of disruptive technologies, in the form of analytical engines, to scrutinize the masses of information and move organizations to the next level of competitive advantage.
The 451 Group
ParAccel adds In-database Analytics with Database Update 3.0
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.
Beye NETWORK
Analytic Platforms: Beyond the Traditional Data Warehouse
The once staid and settled database market has been disrupted by an upwelling of new entrants targeting use cases that have nothing to do with transaction processing. Focused on making more sophisticated, real-time business analysis available to more simultaneous users on larger, richer sets of data, these analytic database management system (ADBMS) players have
Third Nature
The Changing Analytic Needs in Retail
The
new
normal
in
retail
markets
is
leaner
operations and increased competition across formats and channels,
requiring an adjustment in focus. The biggest threat to bottom line performance is the inability to react quickly to changing conditions and make well informed decisions in the new environment.
Neil Raden
Killing Time:
Reducing Operational Latency to Boost Productivity
Operational systems, traditionally known as OLTP (Online Transaction Processing), and analytical systems, alternately known as data warehousing or BI (Business Intelligence), are on a convergent path. Partly a result of the effects of Moore’s Law, and partly the result of technological innovation, the artificial divide between operations and analysis is closing rapidly.
McKnight Consulting Group
Evolving Analytic Platforms:
A True Story
New technologies threaten the status quo when it comes to analytic price‐performance and simplicity. Based on a live interview, this research paper describes one company’s quest for data warehouse modernization.