Aster Data Supercharges Big Data Analysis with Expanded Suite of MapReduce-based Advanced Analytic Functions
Aster Data's unique coupling of MapReduce and SQL, with more than 1,000 pre-packaged functions, accelerates development of advanced analytic applications
San Carlos, CA - June 21, 2010 - Aster Data, a proven leader dedicated to providing the best data management and data processing platform for big data analytic applications, today announced the delivery of over 30 business-ready advanced analytic packages and more than 1,000 MapReduce-ready functions that enable rapid development of rich analytic applications on big data. Aster Data’s solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing. Aster Data’s coupling of SQL with MapReduce greatly simplifies development and powers a new generation of advanced analytic applications. The expanded suite of pre-packaged SQL-MapReduce and MapReduce-ready functions announced today accelerates an organization’s ability to build rich analytic applications that process terabytes to petabytes of data.
Traditional data management platforms and analytic solutions do not scale to big data volumes and restrict business insight to views that only represent a sample of data. This practice leads to undiscovered patterns, restricted analysis, and missed critical events. MapReduce is rapidly emerging as a parallel data processing standard, but in its raw format requires a steep learning curve and specialized programming skills making it unsuitable for most enterprises and especially business analysts.
Aster Data has dramatically simplified MapReduce by coupling the SQL language with MapReduce, to bring SQL-MapReduce to the enterprise. SQL-MapReduce eliminates the need to learn MapReduce programming or parallel programming concepts. It brings to organizations the power of MapReduce with the familiarity of SQL. SQL-MapReduce and the expanded suite of Aster Data’s MapReduce-ready analytic functions power advanced analytic applications and accelerates adoption by Global 2000 organizations by:
- Making MapReduce applications usable by anyone with a SQL skill-set; organizations can now benefit from the power of MapReduce.
- Enabling rich analytic applications to be built quickly due to the simplicity of SQL-MapReduce and Aster Data’s extensive suite of pre-built analytic functions.
- Delivering ultra-high performance on big data, achieved by embedding 100% of the analytical processing in-database inside Aster Data’s data-analytics server, nCluster, thereby eliminating data movement.
- Automatically parallelizing both the data and application processing with SQL-MapReduce for extremely high performance on large data sets.
"About 75% of the time spent on data mining projects can be spent on preparing data for analysis, just to get the data into a usable state,” said Dan Vesset, Program Vice President of Business Analytics, IDC Research. "Aster Data's new approach to analytic application processing improves performance and scalability for data-driven applications and exploratory analysis of big data.”
Customers recognize the limitations of standard SQL for rich, advanced analytics. Aster Data makes it easy for developers to easily integrate SQL with rich functions coded in the language of their choice, including Java, C/C++, Python, etc. This enables powerful analytic applications and functions to run in-database and be easily accessed via standard SQL. Aster Data Developer Express, an Eclipse-based integrated development environment (IDE), provides a wizard-driven environment for rapid development of MapReduce-parallelized applications and automates parallelization of both simple SQL and complex analytic queries.
“Our business is providing increasingly rich insights on customer trends hidden in rapidly growing volumes of data. Aster Data’s business-ready analytic packages, based on SQL-MapReduce, provide a competitive advantage to us through the richness and extensibility of analytics that can be rapidly delivered to our client base. Analytics that were previously unimaginable are now running in 20-30 seconds,” said Richard Zwicky, Founder and President at Eightfold Logic. “Other analytics run with amazing responsiveness, showing the immediate benefit of SQL-MapReduce. In some cases we have seen increases in response time from 45 minutes to seconds.”
“We have a considerable amount of data coming in from our user base which we use to understand the overall impact that our site design has on our customers, as well as to help forecast what changes will impact our customers,” said Don Watters, Chief Data Architect, MySpace. “Being able to take advantage of Aster Data’s business-ready analytic packages shortens development cycles and opens the possibility of including advanced data mining style analysis in almost any initiative, which directly contributes to our competitiveness as a data-driven organization. Providing advanced SQL-MapReduce functions like Aster Data’s nPath allows us to rapidly achieve deeper insights that our business depends on and is a competitive advantage that only Aster Data can provide.”
Today Aster Data announced a significant expansion in the library of both business analyst and power user functions available in Aster Data nCluster, delivering over 1,000 functions in total. Power users can now leverage over 100 Java classes and the full set of GNU Scientific Library functions for inclusion in SQL-MapReduce programs. In addition, Aster Data enables the business analyst with a set of ready-to-call SQL-MapReduce functions, like nPath, that are available in the Aster Data Analytic Foundation for Aster Data nCluster 4.5 and above. These new business-ready functions cover a wide range of advanced analytic use cases from graph analysis to statistical analysis to predictive analytics, that bring extremely high value business functions out of the box that accelerate application development. Examples include:
- Text Analysis: Allows customers to "tokenize" count and position or count the occurrences of words as well as track the positions of words/multi-word phrases.
- Cluster Analysis: Includes segmentation techniques, like k-means, which groups data into naturally occurring clusters.
- Utilities: Includes high value data transformation computations. For example developers can now simply unpack and pack nested data as well as anti-select, or allow the return of all columns except for those that are specified.
“Aster Data’s ongoing commitment to delivering the innovation required to enable the next generation of advanced analytics and data-driven applications is underscored by today’s announcement around our expanded suite of MapReduce-ready functions. We continue to make big data analytics faster and easier, enabling organizations to gain deeper insight into their businesses,” said Tasso Argyros, Founder and CTO, Aster Data. “Increasing our customer’s ability to leverage their data for advanced analytic applications and powerful data exploration provides an unmatched competitive advantage across the market landscape for our customers and partners.”
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).
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’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,
Stacey Collins Burbach
Point Communications Group for Aster Data