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Ingres VectorWise Delivers Business Analytics at the Speed of Tought

Ingres VectorWise Marks the 'End of the Hourglass' and a New Dawn for the Database

Ingres Users Association, London and Redwood City, Calif. - June 8, 2010 - Ingres Corporation, the leading open source database management company and pioneer of the New Economics of IT, announced today the general availability of Ingres VectorWise for Linux, the next generation of database technology. Ingres VectorWise has been proven by Ingres customers and partners over the last six months to provide performance gains of 10x to 70x over existing database and analytic servers whilst running sophisticated analytics on large to truly massive data sets.

Customers report that answers to complex business queries that previously took several minutes are now available in seconds for companies seeking to leverage faster database performance for an immediate impact to the bottom line. Partners report the amount of time that big analytical or business intelligence projects usually take are being cut in half. Ingres VectorWise has completed a successful beta program and is now generally available for Linux and can be downloaded at www.ingres.com/vectorwise. More information regarding customer experiences can be found at www.ingres.com/vectorwise/experiences.

The release of Ingres VectorWise is one of the most significant database technology innovations in the last 20 years, and meets broad business demands to analyze exploding volumes of data. It uses a unique new design to unlock the vastly superior capabilities of modern commodity hardware. These capabilities are the result of years of multi-billion dollar chip technology investments which can only be exploited by software designed for this era.

"For the past 20 years, we've been searching for the killer database that would fulfill our most intense data processing needs and with the discovery of Ingres VectorWise, that search is now over - this database technology is in a class of its own," said Warren S. Master, CTO at The Rohatyn Group, a New York-based asset management company focused on global emerging market investments. "Right out of the box, Ingres VectorWise lets us effortlessly plow through millions and millions of rows of data with seemingly infinite width and depth and without the need for new expensive hardware, complicated schemas, explicit indexing, pre-aggregation, or specially hand-crafted DBA-tuned SQL. The Ingres and VectorWise leaders and technologists have performed a miracle here."

Catching up on billions of dollars of investment

Intel alone invests more than $6B a year in chip and memory technology and has been a key partner in bringing Ingres VectorWise Database technology to market. Intel was an active participant in the original project announcement of "breakthrough performance" in July 2009 and more information can be found in the joint Ingres-Intel technical white paper.

"As a result of this collaboration, Ingres VectorWise is able to unlock and exploit the full processing power of today's chip technology. Now, business applications can gain the full benefits of Moore's Law with consequent reductions in hardware costs, project risk and complexity," said Roger Burkhardt, CEO, Ingres. "The ability to handle unprecedented amounts of data on simple commodity hardware will open up a raft of new possibilities for Analytic Applications that will deliver a competitive edge to our partners and customers."

"The VectorWise technology is unique in the database area in fully exploiting modern chip features introduced by industry leaders like Intel, something usually only achieved in video-editing software or games," said Marcin Zukowski of VectorWise. "Ingres has made a visionary move to bring the acclaimed VectorWise technology to market, showing how open source companies can take the technological lead by open innovation," said Peter Boncz of Amsterdam-based CWI, the research institute where the VectorWise technology was conceived.

From the trenches - Ingres VectorWise customers and partners speak out

For the last six months, participants of the Ingres VectorWise beta program have been able to analyze large to huge data volumes to the most fine-grained level. The companies signed up to experience the power of the technology, explore a lower cost option, and be given an opportunity to simplify steps that are usually quite complex in getting a database up and running. These customers and partners come from all over the world and represent e-commerce, financial, retail, telecom and healthcare markets. To date, the companies report that Ingres VectorWise has achieved enormous performance increases, in some cases, up to 70x. The technology does so by utilizing vector technology in standard CPUs to boost query performance. Customers and partners also report simple set-up and lots of saved time.

Datamatics experiences 70x performance gains

"We ported a business application from Oracle to Ingres VectorWise and were astounded by the substantial performance increases, which were up to 70x," said Michael Thuleweit, managing director, Datamatics, a leading business intelligence solutions provider. "Our customers are also tired of paying for Big Software prices so we are always on the look-out for more cost effective solutions. With Ingres VectorWise Database, we get the best of both worlds; we can now offer our customers a lower cost and better performing analytic database."

Rational Commerce slashes business engagement times by up to 50%

"The speed is blindingly fast right out of the box and it eliminates layers of work that had to be done in the past," said Roy Hann at Rational Commerce, a leading systems integrator. "Ingres VectorWise uses automated compression and indexing which eliminates the need to spend extra hours tuning and tweaking our data. This means we are now able to cut the time of our business intelligent engagements with our customers by up to 50%."

dbConcert experiences drastic performance increases

"Ingres VectorWise performance has been outstanding and it was so easy to get up and running," said Steve Ferrando, CEO, dbConcert, a leading systems integrator to major Wall Street investment firms. "Position analysis was 10 to 50 times faster than the leading commercial databases in our testing and with linear query performance from 12 million - 1.2 billion financial records. These are drastic improvements in terms of speed."

An independent thought leader in database research weighs in

"Ingres VectorWise is a great example of cutting-edge research from highly respected researchers being converted into a product useful for a wide user audience," said Daniel Abadi, director of DR@Y at Yale University, the research group known for the invention of HadoopDB and research in column-store database technology. "VectorWise achieves high performance using a bevy of clever technologies and is now proven to be a terrific fit as database technology underpinning large-scale HadoopDB applications."

About Ingres Corporation

Ingres is a leading open source database management company. We are one of the largest open source companies in the world and the pioneer of the New Economics of IT, providing open source solutions at a dramatically reduced cost compared with proprietary software vendors. As a leader in the New Economics of IT, Ingres delivers low cost and accelerated innovation to more than 10,000 customers worldwide.

About VectorWise

VectorWise is a technology spin-off that resulted from 6 years of research at the CWI research institute. CWI has a proven track record in advancing computer science with projects like Python and MonetDB, the first analytical columnar database in 1994. The unique VectorWise technology has been incorporated inside the proven Ingres relational open source database, and is brought to market worldwide by Ingres in the Ingres VectorWise database product. The VectorWise innovation continues through an expanding community that includes many of the leading computer scientists from around the world.

Ingres is a registered trademark of Ingres Corporation. All other trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

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