-- Validated benchmark shows IBM Big SQL is a compelling choice for SQL-on-Hadoop developers --

ARMONK, NY., Jan. 13, 2015 — (PRNewswire) — IBM (NYSE: IBM) has been cited as an industry leader for making Hadoop more accessible, scalable and reliable for developers in a new analyst survey.

In a survey of more than 1,000 big data developers, analyst firm Evans Data Corporation found that IBM is the leading provider of Hadoop among developers, with more than 25 percent of respondents identifying IBM's Hadoop as their principle distribution. The survey also focused on key growth areas such as machine learning and streaming analytics, where 18 percent of developers cited IBM InfoSphere Streams as their preferred application for machine learning, making it the second most popular choice in the category.

IBM also recently conducted an independently audited benchmark[1], which was reviewed by third-party InfoSizing, of three popular SQL-on-Hadoop implementations and the results showed that IBM's Big SQL was the only Hadoop solution tested that was able to run all 99 Hadoop-DS[2] queries. Of the three, IBM Big SQL was found to be the fastest, most scalable, and most reliable – with a 3.6 times performance advantage running queries on a 10 TB for the compared solutions.

"Our platform for Hadoop helps data-intensive applications manage and analyze petabytes of Big Data by providing clients with an integrated approach to analytics, helping them turn information into insight," said Beth Smith, GM, Analytic Platform, IBM. "Both this new report and benchmark are further proof that customers can ask more complex questions and get business results faster – ultimately realizing greater efficiencies from their investment in IBM's Big Data platform."

IBM continues to foster Hadoop-specific skills in the next generation of IT workers and implement new technologies to help established IT professionals transfer their existing skills into Hadoop.

More than 200,000 developers regularly use Big Data University, an online educational site sponsored by IBM and run by new and experienced Hadoop, Big Data and DB2 users who want to learn or contribute course materials. Thousands of developers also participate in IBM big data meet-ups held around the world, which are free events offering developers an opportunity to learn about and experiment with Hadoop, SQL-on-Hadoop, and other Big Data technologies.

In addition, nearly 1,000 developers have registered to-date for IBM's Big Data for Social Good Hadoop Challenge. The Challenge is a developer contest sponsored by IBM in collaboration with the leading city governments including the cities of Boston, Los Angeles and San Jose where participants are competing to create innovative solutions on Hadoop that solve civil and other real world social challenges.

IBM's portfolio of services on IBM Bluemix help meet the growing demand from organizations and developers looking to use insight to fuel their mobile, Internet of Things and web apps. Data and analytic services such as BigInsights on Cloud, Cloudant, dashDB, DataWorks, Embeddable Reporting, Geospatial Analytics, Mobile Data, and Timeseries database enable developers to deliver more engaging apps, anticipate client needs and optimize operations in real-time.

For more information about IBM Big Data & Analytics, visit http://ibm.co/bigdataanalytics

Follow IBM Big Data & Analytics on Twitter @IBMbigdata and @IBMAnalytics.
For more insights on Big Data & Analytics visit IBM's Smarter Planet blog.

[1] The benchmark was run on identical Intel clusters and reviewed by InfoSizing.
[2] Hadoop-DS is an IBM developed and externally audited benchmark that uses data generation tools, database schemas and database queries from the Transaction Processing Performance Council's TPC-DS Benchmark specification. TPC-DS is a trademark of the Transaction Processing Performance Council (TPC) www.TPC.org. Modifications have been made for Hadoop-based systems. Details about the benchmark are available at http://ibm.co/14bocW0

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