Aster Data Wins 2010 San Francisco Business Times Technology and Innovation Award

Aster Data Awarded “Best Product” in the Product and Services Category

San Carlos, CA - May 24, 2010 - Aster Data, a proven leader dedicated to providing the best data processing and data management platform for advanced analytics and data-driven applications, today announced it has been awarded the 2010 San Francisco Business Times Technology and Innovation Award in the Best Product and Services Category, announced May 20th. The Technology and Innovation Awards were created “to spotlight the dynamic entrepreneurs who are growing fascinating technology companies” according to the San Francisco Business Times.

Aster Data offers Aster Data nCluster - a massively-parallel analytical data warehouse platform that stores and processes terabytes to petabytes of data enabling highly advanced, ad hoc, interactive analytics on large data volumes. Termed a ‘Massively Parallel Data-Application Server,’ Aster Data’s solution is an industry first that co-locates data and applications in one system enabling ultra-fast, deep analysis on massive data volumes. Aster Data’s solution also delivers the industry’s first true ‘In-database MapReduce’ capability that opens a new generation of rich analytic applications that cannot be achieved with traditional SQL-based systems. The award and associated article recognizes and specifically points out Aster Data’s advancements in MapReduce-based analytics, stating, “Aster Data became the first to connect the SQL computing language, used in relational databases, with Google's proprietary MapReduce frameworks.”

The article announcing the award included this customer quote, stating that Aster Data’s “…best advantage is in their architecture and performance," said CEO Mark Hoffman of search marketing and analysis firm Enquisite, which captures and examines the flow of traffic for websites across sectors such as publishing, retail and insurance. For some large Enquisite queries, Aster Data reduced response time from five minutes to less than 10 seconds; for others, Hoffman said, it yielded answers for "things we couldn't query before."

“With the volume of data in enterprises doubling every 18 months, rich and ultra-fast analysis on tens to hundreds of terabytes of data has become a necessity to compete,” said Mayank Bawa, CEO of Aster Data. “We are honored to be recognized by the San Francisco Business Times for this year’s Technology and Innovation Award, and appreciate their understanding of businesses today, who demand a new approach to gather and analyze all their data. Using Aster Data, businesses gain a significant competitive advantage by enabling a new class of data-driven applications that open new business opportunities by gaining a better understanding of the business and customers through deep data exploration.”

The panel of judges, San Francisco Business Times editors, and technology reporters chose Aster Data nCluster for the following:

  • Breakthrough Performance and Linear Scaling: Aster Data nCluster runs on low-cost commodity servers yet provides breakthrough performance easily supporting terabyte to petabytes of user data. The result is 10x-1000x faster performance than traditional database or data warehousing products, along with easy management, continuous availability, and low hardware cost. The solution also scales linearly as data sizes grow.

  • 24x7 Always-On Analytics: Aster Data nCluster was designed from the ground up with unique capabilities for online fault tolerance and live system administration eliminating downtime or planned maintenance windows. The system allows scaling, backups, data loading and high-performance data querying concurrently with no interruption to business analysts and mission-critical applications.

  • High Performance, Next-generation Analytics: Aster Data’s solution uniquely enables high performance, advanced analytics enabling faster, richer analytics on terabytes to petabytes of data. The key to this is Aster Data’s patent-pending SQL-MapReduce analytic framework and advanced in-database analytic processing that allows a new class of rich analytics that cannot be achieved with traditional database systems and SQL. Companies can now run highly advanced, diverse analytics on big data and gain deep business insights in minutes to seconds.

The 2010 awards, with winners in 12 total categories, were presented on May 20th in San Francisco. Examples of other companies recognized across other categories include: Blurb, Jigsaw, Livescribe, ON24, Pandora, Riverbed Technology, RockYou, Salesforce.com, SuccessFactors, Workday, and Zynga amongst others.

"The awards recognize the most innovative technology companies driving the Bay Area's thriving technology sector," said Mary Huss, publisher of the San Francisco Business Times. "We are looking for entrepreneurs, innovators, market leaders and early-stage companies that show the most promise across a wide array of categories."

Aster Data is the first MPP analytical data warehouse platform that allows analytic applications to be fully embedded inside the system, allowing advanced data analysis on terabytes to petabytes of data. This advanced in-database analytics breakthrough which utilizes MapReduce, coupled with Aster Data's innovations in data warehouse capabilities such as dynamic mixed workload management, one-click scaling, online backup, and data compression, has accelerated demand for Aster Data's solution across organizations struggling with managing and analyzing vast amounts of data. Aster Data also provides the only solution that offers the analytical power of in-database MapReduce combined with the familiarity of SQL to make it easy to leverage the powerful MapReduce framework for faster and more scalable analytics that cannot be achieved with SQL alone. Aster Data's customers span financial services, retail, telecommunications, government agencies, and Internet companies who leverage Aster Data nCluster for their advanced analytic applications on big 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 platform 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™” 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, 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™ 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
ZAG Communications for Aster Data
303.408.3155
marlena@zagcommunications.com

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