Aster Data Systems Brings Frontline Data Warehousing, Powered by MapReduce, to the Cloud

Customers ShareThis and Didit Prove Large-Scale On-Demand Data Warehousing Is Ready for Prime Time

San Carlos, Calif. – February 10, 2009 – Aster Data Systems, a proven leader dedicated to providing the best analytic databases for frontline data warehousing, today announced Aster nCluster™ Cloud Edition. An on-demand offering of the Aster nCluster high-performance analytic database, providing a multi-terabyte-scale cloud-based option for data warehousing and advanced analytics, Aster nCluster Cloud Edition is available on both Amazon Web Services (NASD:AMZN) and AppNexus on-demand offerings.

The first database vendor to bring In-Database MapReduce to the cloud, Aster Data is enabling companies to gain deeper insights from their data with advanced in-database analytics and flexible deployment options for large-scale data warehousing. With In-Database MapReduce, customers access parallel-processing in-database analytics through standard SQL. Through unique prepackaged SQL extensions such as nPath, Aster nCluster Cloud Edition customers have access to sequential pattern analysis, which yields deeper behavioral and event analysis for improved ad targeting, fraud detection, and more.

"Today is a big step forward for customers who want more from their data,” said Mayank Bawa, CEO of Aster Data Systems. “Making Aster nCluster available on multiple cloud platforms widens the reach of In-Database MapReduce and helps companies get deeper insights from their data beyond what traditional SQL by itself can provide. With Aster nCluster Cloud Edition, data sets don’t need to be moved to other platforms to be processed because we’ve united standard SQL with MapReduce in a single RDBMS."

In addition, nCluster Cloud Edition is the first and only database to bring Online Precision Scaling™ to the cloud, allowing companies to scale their system on-the-fly without taking downtime. Aster nCluster Cloud Edition provides maximum flexibility in scaling the database through one-click provisioning to increase or decrease storage or compute power across multiple functional tiers (query, loading, export, etc.) independently to meet workload requirements.

“ShareThis is in production with a multi-terabyte data warehouse deployment to support data-driven services for publishers and users,” Bawa said. “By utilizing Amazon Web Services, Aster has proven that large-scale, mission-critical data warehouses can work in the cloud.”

Customers See Success with Aster nCluster Cloud Edition
Aster nCluster Cloud Edition gives customers maximum operational flexibility for scaling a data warehouse on-demand on the Amazon Elastic Compute Cloud (Amazon EC2). Scaling is not only made easy through Online Precision Scaling, but also non-disruptive via patented algorithms that enable existing workloads to continue un-interrupted. This gives companies “just-in-time” scaling without having to spend precious working capital and time over-provisioning database systems well in advance of when that capacity or performance is needed.

"We are excited to be part of Aster's cloud pioneering efforts. Services like Aster nCluster Cloud Edition help our business needs by providing cutting-edge In-Database MapReduce analytics. We're happy with the combination of Aster and Amazon Web Services along with the low cost of ownership," said Tim Schigel, CEO, ShareThis. Register to watch a webcast of the ShareThis deployment on Amazon Web Services Feb. 18th at 11AM PST: www.asterdata.com/cloud_webinar

AppNexus PrivateScale gives customers secure access to an enterprise datacenter, and allows customers to get started quickly and easily. With AppNexus’ powerfully simple command-line APIs, customers can provision new servers instantly, configure a complex load-balanced application in under an hour, and a business intelligence (BI) platform can be prepared in a day.

“We are pleased that the combination of Aster and AppNexus have empowered Didit to build a next-generation data-rich media targeting environment where our selected clients can push the envelope in high-profit selective impression acquisition,” said Kevin Lee, Chairman, CEO, and Co-Founder, Didit.

Introducing nPath
Aster Data’s nPath is a groundbreaking SQL-MapReduce (SQL/MR) function, which extends standard ANSI SQL with a procedural data flow for massively parallelized in-database analysis. nPath enables complex pattern analysis via sequential matching of granular datasets through a single pass of the database – discovering relationships between rows of data – resulting in much faster analysis than with traditional SQL or other methods for time-series analysis. Example applications include behavioral analysis, fraud detection, risk assessment in financial services, and communications network optimization. nPath can be used in both nCluster Cloud and nCluster on-premise deployments For more technical details on nPath or In-Database MapReduce, please read the Aster Data blog.

The Power of MapReduce with the Rich Functionality of an RDBMS
Aster nCluster provides a first in the database world: In-Database MapReduce. MapReduce is a programming model that was popularized at Google in 2003 to process large unstructured data sets distributed across thousands of nodes. In-Database MapReduce enables enterprises to harness the power of MapReduce while managing their data in Aster nCluster, a highly scalable relational database system for frontline data warehousing. Just like its massively parallel execution environment for standard SQL queries, Aster nCluster now adds the ability to implement flexible MapReduce functions for parallel data analysis and transformation inside the database. Aster nCluster In-Database MapReduce functions are simple to write and are seamlessly integrated within SQL statements. They rely on SQL queries to manipulate the underlying data and provide input. The functions can procedurally manipulate such input data and provide outputs that can be further consumed by SQL queries or be written into tables within the database.

About Aster Data Systems
Aster Data Systems is a proven leader in high-performance analytic database systems for frontline data warehousing - bringing deep insights on data analyzed on clusters of low-cost commodity hardware. The Aster nCluster database cost-effectively powers frontline analytic applications for companies such as MySpace, aCerno (an Akamai company), and ShareThis. Running on low-cost off-the-shelf hardware, and providing 'hands-free' administration, Aster enables enterprises to meet their data warehousing needs within their budget. Aster is headquartered in Redwood City, California and is backed by Sequoia Capital, JAFCO Ventures, Cambrian Ventures, and First-Round Capital, as well as industry visionaries including David Cheriton, Rajeev Motwani and Ron Conway. For more information please visit http://www.asterdata.com, or call 650-232-4400.

Aster Data Systems, Aster nCluster and the Aster logo are registered trademarks of Aster Data Systems. All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders. Statements herein are based on normal operating conditions and are not intended to create any implied warranty of merchantability for fitness for a particular purpose. Aster Data Systems reserves the right to modify at any time without notice these statements, our services, products, and their warranty and performance specifications.

Press Contact:
Marlena Fernandez Berkowitz
ZAG Communications
303.408.3155
marlena@zagcommunications.com

The Best Insights Possible
White Paper: A Revolutionary Approach for Advanced Analytics and Big Data Management
Whitepaper: Deriving Deep Insights from Big Datasets
Research Report: MapReduce and the Data Scientist