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Aster Data Advances Analytics for Big Data, Enabling Next-Generation Interactive Analytic Applications

Introduction of nCluster 4.5 Accelerates Analytics for Big Data With the First Integrated Visual Development Platform for SQL and MapReduce Applications, Advanced Manageability for Data-Intensive Applications, and Support for Solid-State Storage

SAN CARLOS, CA -- (Marketwire) -- 02/22/10 -- Aster Data, a proven leader dedicated to providing the best data management and data processing platform for big data applications, today announced Aster Data nCluster 4.5, which provides an important step forward in analytics by allowing companies to simplify development and management of highly advanced, interactive analytic applications that process extremely large data volumes. Aster Data's previous releases made big data analytics possible by allowing analytic applications to run inside Aster Data's massively parallel database. Now nCluster 4.5 makes development and management of sophisticated analytics for deep data exploration on massive data volumes fast and easy, allowing richer and deeper business insights. With the volume of data in enterprises doubling every 18 months, rich and ultra-fast analysis on tens and hundreds of terabytes to petabytes of data has become a necessity.

The MapReduce software framework, popularized by Google, provides a powerful distributed computing solution for advanced analytics on massive data sets. Aster Data was the first to integrate MapReduce with SQL in its massively parallel database, and now Aster Data nCluster 4.5 delivers the market's first comprehensive platform for easy and rapid development, deployment, and management of MapReduce-enabled analytic applications. nCluster 4.5 introduces: Aster Data Developer Express, the first integrated visual development environment for building MapReduce and SQL analytic applications; Aster Data Analytic Foundation, a powerful suite of re-usable analytic functions for accelerating application development; Aster Data Management Console 4.5, a cutting-edge new management console for powerful visibility and control of data and analytic applications; and support of solid-state storage devices (SSD) to accelerate storage performance.

"We look forward to taking advantage of the new capabilities in nCluster 4.5 because they will enable us to develop, deploy, and manage advanced analytic applications faster and more efficiently than ever before so we can rapidly deliver the deep insights our business depends on," said Don Watters, Principal Architect, Data Services at MySpace. "Aster Data's new integrated development environment will enable us to automate parts of development that currently take days, allowing us to build rich analytic applications significantly faster and more easily. We're also very excited to take advantage of the new Aster Data Management Console which provides deep visibility into the performance of the system and provides a deeper level of situational awareness and historical perspective for our entire operations and engineering staff."

The continuing data explosion is compelling organizations to rapidly evolve their analytics strategy to deliver rapid and rich analytics on terabytes and petabytes of data. This new generation of analytics requires technology innovations that address the performance, scalability, and complexity challenges of big data analytics. Aster Data led the way in bringing together the fundamental technology innovations needed to make big data analytics possible with the first Data-Application Server -- a data management and applications platform with the performance and scalability of a massively parallel data warehouse, the only solution to deeply integrate MapReduce with SQL for advanced analytics, and the first platform that allows applications to fully run inside the database for fast access to terabytes and petabytes of data.

Key New Features of nCluster 4.5 include:

1. Aster Data Developer Express delivers the first integrated visual environment for developing analytic applications with SQL and MapReduce, and significantly eases development and deployment of MapReduce-enabled applications. It makes it easy to develop, validate, and deploy big data applications through integration with the popular Eclipse integrated development environment (IDE); includes wizards that automate common elements of analytic application development; provides a desktop testing environment for local development and testing; and enables one-click push down of analytic applications into Aster Data's nCluster database so applications run inside the database eliminating all latency associated with massive data movement.

2. Aster Data Analytic Foundation accelerates the development of rich analytics with a powerful suite of reusable building blocks for common analytic functions. These ready-to-use modules have been optimized to take advantage of the power of Aster Data's SQL-MapReduce framework for fast analytics, and represent the industry's first suite of functions optimized for MapReduce. Example functions include advanced time-series analysis, market basket analysis for advanced analytics in retail, and a range of statistical analysis functions relevant to many industries, in particular financial services companies.

3. Aster Data Management Console 4.5 is an all-new rich management console that makes it easy to monitor and manage big data and advanced analytic applications with an intuitive interface, providing cutting-edge manageability of the nCluster platform and the applications running inside. The rich interface provides comprehensive and deep visibility into data clusters and application metrics so customers can view and manage analytic applications according to their business priorities.

4. Even Faster Analytics on Big Data. The addition of support for solid-state storage provides significantly faster data access than traditional physical storage for up to 10x better performance than physical disks. Aster Data's new next-generation data loader significantly accelerates the movement of data into nCluster with industry-leading throughput for fast data loading.

"At TDWI, we're seeing many user organizations go deeper into advanced analytics," said Philip Russom, the senior manager of research at The Data Warehousing Institute (TDWI). "As they embrace advanced analytics, they must choose an analytic approach, based on extreme SQL, predictive analytics, or an alternative like MapReduce. Since all these approaches attain best results from a very large data sample, users also need an analytic platform that can handle big data. With the new 4.5 release, Aster Data nCluster becomes the only database management system that supports all three forms of advanced analytics, easy-to-use development and deployment tools for all three forms, and high performance for all three, even with big data."

"Aster Data is committed to delivering the innovation needed to enable the next generation of advanced analytics and data-driven applications. Our focus on delivering the industry's first massively parallel data-application server by integrating the analytical power of MapReduce with the ability to run applications inside the database made big data analytics possible," said Mayank Bawa, Founder and CEO, Aster Data. "nCluster 4.5 builds on our previous breakthroughs with new innovations to make big data analytics faster and easier, enabling organizations to gain deep insight into their business through a new generation of data-driven applications."

Aster Data also announced in a separate press release today the expansion of its Partner Program to give partners a faster and easier way to develop advanced analytic functions using the new Aster Data Developer Express environment, Aster Data Analytic Foundation, and Aster Data's patent-pending SQL-MapReduce framework.

"Aster Data's new Solution Provider Partner program and cutting-edge development tools provide a rich, standards-based development ecosystem for big data application developers and systems integrators," said Pankaj Mittal, CTO of Impetus. "With our experience in developing big data applications, and Aster Data's elegant integration of MapReduce with SQL in a visual development environment, Impetus can reduce development time for solutions and build richer data-driven applications that empower our customers to deliver data monetization, higher customer satisfaction, and risk reduction."

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™" 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™ 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
[email protected]

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