ScaleOut Software Finds Near-Unanimous Demand for Real-Time Hadoop Analytics
In-memory data grid company commissions survey at Strata Conference, and findings suggest Hadoop is not yet an effective solution for real-time analysis.
BELLEVUE, Wash., April 9, 2013 – ScaleOut Software, a leading provider of in-memory data grids (IMDGs), today announced the results of “Attitudes and Opinions Towards Hadoop and Real-Time Data Analytics,” a survey that polled more than 150 attendees of O’Reilly’s February 2013 Strata Conference. The survey, which aimed to gain greater insight into the proliferation of Hadoop deployments and the corresponding demand for real-time data analytics, suggested that Hadoop’s current capabilities for real-time data analytics are seriously lacking.
According to the survey data, over 92 percent of organizations currently require or would benefit from real-time data analytics. However, more than 61 percent of respondents stated that they believe Hadoop is not an effective solution for real-time analytics. The survey also noted that over 77 percent of organizations are generating fast-changing, live data.
“There was an overwhelming consensus from the Strata attendees we surveyed that, while a powerful platform for big data, Hadoop falls short when it comes to real-time analytics,” said Bill Bain, ScaleOut Software CEO. “The ability to process and analyze dynamic, fast-changing data quickly and efficiently is an increasingly important requirement for Hadoop users, as underscored by the results of this survey. We see a call to action for software vendors to respond to this clear-cut need in the Hadoop community.”
Other findings from the survey included:
- 61% of respondents have already deployed Hadoop in their organization.
- 78% of respondents cited plans to implement or expand their existing Hadoop deployment in the next 12 months.
- 71% of respondents would find a 10x improvement to be a meaningful speed-up for running their Hadoop programs.
- “Complexity / development time” was the most commonly cited factor as the single biggest challenge in working with Hadoop, according to over 34% of respondents.
- 82% of respondents run Hadoop analysis multiple times on the same data set.
- 62% of respondent data sets being analyzed with Hadoop are smaller than 10TB.
About this Survey
“Attitudes and Opinions Towards Hadoop and Real-Time Data Analytics” was determined by surveying more than 150 Strata Conference attendees in Santa Clara, Calif. between February 26-28, 2013. Respondents included software engineers, infrastructure architects and data analysts from energy, education, government, telecom, technology, entertainment and consumer organizations.
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About ScaleOut Software, Inc.
ScaleOut Software develops software products that provide scalable, highly available memory-based storage and analysis for workload data in server farms and compute grids. It has offices in Bellevue, Washington and Beaverton, Oregon. The company was founded by Dr. William L. Bain, whose previous company, Valence Research, developed and distributed Web load-balancing software that was acquired by Microsoft Corporation and is now called Network Load Balancing within the Windows Server operating system.
For more information, please visit www.scaleoutsoftware.com or follow us on Twitter @scaleout_inc.
Media Contact:
Matt Collidge
LEWIS PR for ScaleOut Software
Matt.Collidge@lewispr.com
(415) 432-2445