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comScore, Leading Internet Audience Measurement Service, Selects Aster Data for Ultra Fast, Big Data Analytics

Aster nCluster Proven to Be 10 Times Faster at Big Data Analysis Than Any Other Solution

SAN CARLOS, CA -- (Marketwire) -- 11/02/09 -- Aster Data, a proven leader dedicated to providing the best data processing and management platform for 'Big Data' applications, today announced that comScore (NASDAQ: SCOR), a global leader in measuring the digital world and the preferred source of digital marketing intelligence, has selected Aster Data's nCluster. By using a massively scalable data analysis and data management platform, comScore provides deep information that monetizes the buying and selling of media on the Internet. Aster Data's Version 4.0, the first Massively Parallel Data-Application Server was also announced today. The new 4.0 is the first massively parallel data warehouse that fully runs applications inside enabling ultra-fast, deep data analysis on massive data scales.

"comScore's mission is to provide digital media intelligence to its customers so they can have a full 360 degree view of what people are doing with different digital tools whether it be web, cell phones, TV, etc.," said Michael Brown, EVP of Software Engineering, comScore. "When it came to large-scale data analytics and our need to process an additional 100 billion rows of data per month, we found that Aster's solution was the best solution on the market for this amount of data and our fast processing needs. Aster's technology also makes it much easier for business analysts to easily get to the data to run their analysis," said Brown.

comScore Media Metrix provides industry-leading Internet audience measurement services that report details of online media usage, visitor demographics and online buying power for the home, work and university audiences across local U.S. markets and across the globe. comScore Media Metrix reports are used by financial analysts, advertising agencies, publishers and marketers, and the comScore Media Metrix syndicated ratings are based on industry-sanctioned sampling methodologies.

comScore chose Aster Data following a rigorous market review which included Aster Data's advanced use of MapReduce, which integrates SQL with MapReduce enabling business analysts to leverage the power of the MapReduce analytics framework for ultra-fast data analysis. SQL-MapReduce eases development, enables reusability and is perfectly suited for today's business analysts who need fast insights into their data.

"By being able to take application logic and directly embed that in Aster's massively parallel database, our analysts can produce relevant customer data that much quicker, without having to do an extract, process, and reload back into the system. This reduces errors and allows us to run the system much more efficiently," said Will Duckworth, Director of Software Engineering, comScore. "The majority of the analytics professionals at comScore know and use SQL, so the SQL interface for the advanced analytics MapReduce framework made Aster's solution an obvious match for us," Duckworth added.

comScore also chose Aster Data for its unlimited scalability, Always On and Always Parallel architecture. "When you are managing terabytes of data, it's a challenge to efficiently collect all of the data and store it in such a way that it is available for analysis. A large bulk of my team is focused on where we are going to put the data, how are we going to get to it, and how best to process it. We chose Aster because nCluster provides us with a highly scalable MPP database that allows us to add commodity hardware to the system as we need to, which we anticipate to be a big cost savings," Duckworth said.

"comScore processes over 100 billion rows of data per month to deliver information to its 1,200 customers, so they in turn can use that data to make valuable business decisions," said Mayank Bawa, CEO of Aster Data. "Aster Data's solution uniquely provides big data management and data analysis in one integrated system for faster, more impactful insights on large data sets. Aster Data's 4.0 release is a fundamental shift in data management as it brings applications inside of data for the first time. We believe, and our customers validate, that our new 4.0 solution is a massive step forward in how companies will manage large volumes of data and do deep, granular analysis of very large data sets. In addition to allowing ultra-fast analysis on very large data sets, our new solution also opens up a whole new market for interactive, big data applications."

About Aster Data

Aster Data is a proven leader in big data management and big data analysis for data-driven applications. Aster Data's nCluster is the first MPP data warehouse architecture that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets. Aster Data's unique "applications-within(TM)" approach allows application logic to exist and execute with the data itself. Termed a "Massively Parallel Data-Application Server," Aster Data's solution effectively utilizes Aster's patent-pending SQL-MapReduce together with parallelized data processing and applications to address the big data challenge. Companies using Aster Data include Coremetrics, MySpace, comScore, Akamai, Full Tilt Poker, and ShareThis. Aster Data is headquartered in San Carlos, California and is backed by Sequoia Capital, JAFCO Ventures, IVP, and Cambrian Ventures, as well as industry visionaries including David Cheriton, Ron Conway, and Rajeev Motwani. For more information please visit http://www.asterdata.com, or call 1.888.Aster.Data.

Aster Data, Aster Data nCluster, the Aster logo and Applications-Within(TM) are registered trademarks of Aster Data. All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.

Press Contact:
Marlena Fernandez Berkowitz
ZAG Communications for Aster Data
303.408.3155
[email protected]

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