Aster Data Systems and AppNexus Partner to Bring In-Database MapReduce and Frontline Data Warehousing to the Cloud

San Carlos, Calif. & New York – February 10, 2009 – Aster Data Systems, a proven leader dedicated to providing the best analytic databases for frontline data warehousing, and AppNexus, an enterprise-ready computing cloud, today announced that AppNexus will deliver Aster nCluster™ Cloud Edition. An on-demand offering of the Aster nCluster high-performance analytic database system, providing a multi-terabyte-scale cloud-based option for data warehousing and advanced analytics, Aster nCluster Cloud Edition on AppNexus is available today.

This offering especially benefits enterprises such as Didit, which continually amass data. “We are pleased that the combination of Aster and AppNexus has given Didit a platform on which to deploy a data-rich ad targeting platform where selected clients are using remnant inventory to drive profitable sales growth,” said Kevin Lee, Chairman, CEO, and Co-Founder, Didit.

The AppNexus cloud was engineered to provide all the building blocks of a robust, cost-efficient, and instantly scalable enterprise infrastructure, and AppNexus customers tend to collect, store and analyze huge amounts of data. "Aster nCluster Cloud Edition is an opportunity for our users to benefit from In-Database MapReduce, enabling companies to gain deeper insights from their data,” said Brian O'Kelley, CEO at AppNexus. "Partnering with Aster allows us to offer customers a scalable and flexible way to perform both standard SQL and advanced in-database analytics in a single system, when they need it, without having to invest in expensive hardware and infrastructure. In addition, Aster is perfectly suited for the cloud because of their ability to easily scale on-demand, without downtime, giving customers a way to meet analytic demand as needed without over-provisioning and sacrificing precious capital in advance of a project. We believe customers are going to be very enthusiastic about this partnership.”

The first vendor to bring In-Database MapReduce to the cloud, Aster Data is enabling customers to have access to parallel-processing in-database analytics through standard SQL. Through unique SQL-MapReduce extensions such as nPath, Aster nCluster Cloud Edition customers have access to advanced analytics natively within a relational database. nPath, the first of several out-of-the-box SQL/MR functions that Aster will provide customers, provides sequential pattern analysis – discovering relationships between rows of data – enabling deeper behavioral and event analysis for improved ad targeting, fraud detection, and more.

In addition, Aster nCluster Cloud Edition is the first and only analytic database in the cloud that has Online Precision Scaling™, 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.  Scaling is not only made easy 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.

“Partnering with AppNexus gives us an excellent opportunity to bring cloud computing to enterprise customers, particularly in media and advertising, who want the option of data warehousing and analytics on demand,” said Mayank Bawa, CEO, Aster Data Systems. “For customers excited by the opportunity to leverage In-Database MapReduce for the first time and the benefits it brings, the partnership with AppNexus allows enterprise customers to get started in a flexible manner.”

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.

About AppNexus
AppNexus is a leading enterprise-level computing cloud focused on comprehensive, self-service, virtualized hosting on demand. AppNexus provides the servers and tools needed to build a highly available virtual datacenter, including bandwidth, hardware load balancing, geographically disparate datacenters, persistent clustered storage, and an SLA. AppNexus products are deployed and scaled at will via command-line tools. The AppNexus cloud has also become an ecosystem where customers partner with each other and with vendors to reduce the latency inherent in web-based collaboration. AppNexus was founded in 2007 by Brian O'Kelley and Mike Nolet, and is funded by leading investors including Venrock, Kodiak Ventures, Khosla Ventures, First Round Capital, Marc Andreessen, Ben Horowitz, and Ron Conway. For more information about AppNexus, please visit http://www.appnexus.com.

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Marlena Fernandez Berkowitz
ZAG Communications

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