The Path Beyond HADOOP
The Path Beyond HADOOP: Software Database Systems for Big Data Analytics
Feature Article: January 2013

The waves of big data are massive and arriving continuously, demanding a processing platform that is expansive, economical, and accessible. By “big data” we’re talking about traditional business data such as orders, transactions, customer profiles, as well as new data sources flowing from machines, sensors, and social networks. This is data that is measured in exabytes and beyond. If studies are correct, this is just the beginning: because according to IBM, 90% of the world’s digital data has been created in just the last two years.

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Massively Scalable Big Data Analytics in the Cloud: A Q&A with Mike Lamble of XtremeData

December 17, 2012, by Ron Powell. Business Intelligence & Analytics


This BeyeNETWORK Spotlight features Ron Powell's interview with Mike Lamble, President of XtremeData. Ron and Mike discuss XtremeData’s massively scalable SQL database engine for the cloud or on premise that provides the high performance required for industrial-strength analytic applications.

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Advantages of Software Database Management Systems

November 19, 2012


The data warehousing community has always made room for high performance database management systems (DBMSs) that used proprietary hardware because massive ingest rates and fast response times for big data analytics were not achievable on standard hardware. Now, however, today’s standard x86 hardware, combined with next generation software DBMSs, can deliver the goods at a much lower cost and with many other advantages that are inherent to software running on standard hardware.

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Harvesting the Big Data Tsunami: The Path Beyond Hadoop for Big Data Analytics

By Mike Lamble | October 23, 2012

developer oldcolor

Organizations are drowning in a sea of Big Data--data that is measured in exabytes and beyond--demanding a storage platform that is expansive, economical, and accessible.
Why would a business want to store all of this big data? Because of the game-changing insights that it can yield. 85% of executives surveyed by Harvard Business Review expect to gain substantial business and IT advantages.

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Xtremedata Unveils Unlimited Scale Cloud Version Of dbXx -- Industry's First Massively Parallel Database Software For Amazon AWS
New Cloud Edition Allows Customers to Leverage High Performance Analytics in the Cloud

SCHAUMBURG, IL, September 10, 2012 – XtremeData Inc., providers of the only high performance DBMS for big data analytics deployable on premise and in the cloud, today announces the availability of dbX Cloud Edition, a new massively scalable and parallel SQL database engine that runs on Amazon Web Services (AWS). The dbX Cloud Edition provides users with free and unlimited scalability via the cloud, which enables them to go live in days or hours, rather than in weeks or months without the need to buy and install large amounts of hardware.
Developed to be fast, economical, easy to use and highly scalable, dbX is a high performance, full-featured ANSI SQL database engine designed for performance at all scales, up to 100s of terabytes, using any data schema and without requiring the data be co-located on processing nodes.

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