Recurring Revenue Authors: Yeshim Deniz, Liz McMillan, Xenia von Wedel, Carmen Gonzalez, Elizabeth White

News Feed Item

Aster Data Introduces Advanced MapReduce Analytics on Column Store DBMS

New Aster Data nCluster 4.6 Extends the Power of SQL-MapReduce to Hybrid Row and Column DBMS Enabling Richer Analytic Applications

SAN CARLOS, CA -- (Marketwire) -- 09/15/10 -- Aster Data, a proven leader dedicated to providing the best data management and data processing platform for big data management and analytics, today announced Aster Data nCluster 4.6, which includes a column data store, making Aster Data nCluster 4.6 the first platform with a unified SQL-MapReduce analytic framework on a hybrid row and column massively parallel processing (MPP) database management system (DBMS). The unified SQL-MapReduce analytic framework and Aster Data's suite of 1000+ MapReduce-ready analytic functions, delivers a substantial breakthrough in richer, high performance analytics on large data volumes where data can be stored in either a row or column format.

With Aster Data nCluster 4.6, customers can choose the data format best suited to their needs and benefit from the power of Aster Data's SQL-MapReduce analytic capabilities, providing maximum query performance by leveraging row-only, column-only, or hybrid storage strategies. Aster Data makes selection of the appropriate storage strategy easy with the new Data Model Express tool that determines the optimal data model based on a customer's query workloads. Both row and column stores in Aster Data nCluster 4.6 benefit from platform-level services including Online Precision Scaling™ on commodity hardware, dynamic workload management, and always-on availability, all of which now operate on both row and column stores. All 1000+ MapReduce-ready analytic functions released previously through Aster Data Analytic Foundation -- a powerful suite of pre-built MapReduce analytic software building blocks -- now run on a hybrid row and column architecture. Aster Data nCluster 4.6 also includes new pre-built analytic functions, including decision trees and histograms. For custom analytic application development, the Aster Data IDE, Aster Data Developer Express, also fully and seamlessly supports the hybrid row and column store in Aster Data nCluster 4.6.

Aster Data's previous releases eased the development and management of sophisticated analytics for data exploration on massive data volumes, enabling richer and deeper business insights. Today's announcement of Aster Data nCluster 4.6 takes that one step further by allowing customers to leverage the power of Aster Data's data-analytics platform to manage multiple storage formats while providing a powerful platform for advanced analytics. The delivery of Aster Data nCluster 4.6 continues Aster Data's industry innovation and market leadership by integrating the power of MapReduce MPP analytics within a column store and being the first-ever tightly integrated SQL-MapReduce implementation for both column and row store.

"In optimizing the performance of the storage and retrieval of analytic data, column-store DBMS technology, built with a mixture of mature products, is gaining market share as an analytic engine," said Donald Feinberg, Vice President, Gartner. "In addition, new techniques for managing large amounts of data, such as MapReduce and noSQL DBMS, are beginning to gain interest. As organizations realize they need more holistic capabilities to manage data, tools with consolidated functionalities, optimized to meet specific data management needs, will help reduce technology silos and streamline a portfolio of data management capabilities deployable across the enterprise."*

Organizations faced with performance, scale, complexity, and cost limitations now have compelling reasons to evolve their analytic strategy with a solution that delivers rapid and rich analytics on large volumes of data, regardless of whether they require row or column store or a hybrid of both. Row stores have traditionally optimized more for ad hoc, interactive queries, while column stores are traditionally optimized for reporting-style queries. Now providing both a row store and a column store within Aster Data nCluster 4.6 and delivering a unified SQL-MapReduce framework across both stores, Aster Data delivers a solution across the complete continuum of interactive to reporting style queries. For example, a retailer using historical customer purchases to derive customer behavior indicators may often perform interactive queries against customer purchase data in a row store to analyze trends in individual customer orders over time. This ad hoc interactivity to identify patterns in the data is well-suited to the properties of a row store. Yet, this same retailer can see a 5-15x performance improvement from using a column store to provide access to the data for reporting-style queries like the behavioral indicators of customer purchase history, e.g. the number of purchases completed per brand or category of product. The Aster Data platform now supports both query types with natively optimized stores and a unified query framework. Aster Data led the way in bringing together the fundamental technology innovations required to make big data analytics possible and continues that innovation today by extending the power of MapReduce-style MPP analytics to column store within a tightly integrated SQL-MapReduce environment.

"We see a wide variety of different types of analytics in our business -- some optimized for row storage and others for column storage. Aster Data's nCluster 4.6 release provides the best of both worlds by introducing a single platform that covers the breadth along with the speed of response for our analytic needs and provides us the freedom to choose the storage format which will provide the best performance for our team of business analysts," said Will Duckworth, Vice President of Software Engineering, comScore. "From pre-packaged algorithms to MPP query optimization and now hybrid row and column, Aster Data's ability to innovate has helped us deliver better results to our customers."

Aster Data nCluster 4.6 feature highlights include:

Hybrid Row and Column Store:
New column-based storage option includes support for both standard SQL and SQL-MapReduce analytics in Aster Data nCluster 4.6. Choice of storage, implemented per-table partition, provides customers flexible performance optimization based on analytical workloads.

Enterprise-Grade Analytic Platform Services:
Aster Data nCluster 4.6 platform-level services are extended to the new column store. Services include: dynamic workload management, fault tolerance, Online Precision Scaling™ on commodity hardware, compression, indexing, automatic partitioning, SQL-MapReduce, SQL constructs, and cross-storage queries, among others. Online Precision Scaling™ provides on-demand, incremental scaling on commodity hardware of each functional server group for different workloads like queries, loads and back-up, significantly decreasing the cost and hassle of scaling the system to meet growing data volumes.

Data Model Express Tool:
New recommendation engine evaluates query workloads and automatically recommends which data store, row or column, would be optimal for the type of workloads provided. Database administrators can select to store data in a row store, column store, or in both types of stores as necessary for optimal performance of their organization's specific query loads.

Additional Packaged Analytic Functions:
In addition to the 1000+ MapReduce-ready analytic functions already available, Aster Data nCluster 4.6 provides several new statistical functions popular in decision analysis, operations research, and quality management including decision trees and histograms.

"Today's announcement further underscores that companies of all sizes who need richer analytics can easily experience the power of MapReduce and quickly build powerful analytic applications with 1000's of packaged analytic functions and the extensibility of the first-ever tightly integrated SQL-MapReduce implementation for both column- and row-store," said Tasso Argyros, CTO and co-founder, Aster Data. "Extending the MapReduce analytical capability to a column-store within our data-analytics server is the logical next step in our continued path of innovation to enable customers to get more value more quickly from their data which is too massive to be stored in their existing data warehouse architectures."

For more information on Aster Data, please visit http://www.asterdata.com/ or call 1.888.Aster.Data (US) or +1.650.232.4400 (INTL).

*Gartner Inc., "Hype Cycle for Data Management, 2010" by Eric Thoo, Ted Friedman, Donald Feinberg, Mark A. Beyer, July 22, 2010.

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 "Data-Analytics Server," Aster Data's solution effectively utilizes Aster Data'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 and Ron Conway. For more information please visit http://www.asterdata.com, or call 1.888.Aster.Data.

Aster Data, Aster Data nCluster, SQL-MapReduce, 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.

Add to Digg Bookmark with del.icio.us Add to Newsvine

Media Contact
Stacey Collins Burbach
Point Communications Group for Aster Data
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

@ThingsExpo Stories
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER give you detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPO also offers s...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...