WANdisco Completes Acquisition of Pioneering Big Data Company
Acquisition of Hadoop Expertise Will Accelerate WANdisco's Product
Development in Fast-Growing Big Data Market
SAN RAMON, CA and PALO ALTO, CA -- (Marketwire) -- 11/19/12 --
WANdisco (LSE: WAND), a leading provider of global collaboration
software to the software development industry, announced today it has
completed the acquisition of Silicon Valley-based software company
AltoStor. This acquisition underscores WANdisco's drive into the Big
Data solutions market, forecasted by analyst firm Wikibon to grow 58%
between 2012 and 2017 and from $5 billion to over $50 billion in the
AltoStor is a small, pioneering firm with a deep expertise in the Big
Data market. Its founders, Dr. Konstantin Shvachko and Jagane Sundar,
are among the core Apache Hadoop creators, developers and on-going
contributors. Hadoop is a proven open source Big Data technology that
is the backbone of many of the world's largest and most important
databases utilized by companies such as Yahoo, Facebook, Netflix,
Amazon and eBay.
"The AltoStor acquisition will enable WANdisco to launch products
quickly into the highly-lucrative Big Data market," said WANdisco
Chairman and CEO David Richards. "Combining our patented technology
with AltoStor's Big Data platform will provide us with a significant
competitive advantage and provide organizations with a more reliable
approach for managing big data. The support AltoStor's founders have
for the WANdisco story is an important part of this deal."
By applying WANdisco's patented "active-active replication"
technology, currently being deployed to enable faster, more efficient
software development, to Big Data, businesses could take steps to
minimize data loss and realize zero downtime in operating large,
mission-critical databases. WANdisco plans to announce the
availability of its first Big Data-targeted solution in Q1 2013.
In addition, the AltoStor founders will join WANdisco and play a
leading role in WANdisco's Big Data product development and rollout.
Shvachko and Sundar have unparalleled expertise in Big Data, and
specifically Hadoop, which they helped create as part of a 12-person
team at Yahoo. More recently, Shvachko implemented Hadoop at eBay
where he was the Principal Big Data Architect. Sundar will join as
chief technology officer & vice president of engineering for Big Data
and Shvachko as the chief architect of Big Data.
"Prior to this acquisition, we had a number of options including
venture capital and acquisition approaches from several large Silicon
Valley software companies desiring to enhance their Big Data
products," said Shvachko. "When we first spoke with WANdisco, we
recognized immediately that WANdisco's patented replication
technology, combined with AltoStor's products and knowledge, could
create a compelling product offering that virtually every enterprise
looking to deploy Hadoop could utilize."
WANdisco will host a live webinar on December 11 at 10:00 a.m. PST
where Richards, Shvachko and Sundar will discuss the acquisition and
WANdisco's direction in the Big Data Market. For more information and
to register, visit The Future of Big Data for the Enterprise.
WANdisco (LSE: WAND) is a leading provider of enterprise
high-availability software. Fortune Global 1000 companies such as
AT&T, Intel, Honda, Nokia, Juniper Networks and Motorola rely on
WANdisco's high availability solutions for enterprise-class
performance, scalability and 24-by-7 availability. A recent Forrester
Total Economic Impact (TEI) study of WANdisco's technology revealed a
167 percent return on investment resulting in a nine-month payback
period. Please visit us at: http://www.wandisco.com.
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For further information please contact:
via FTI Consulting
David Richards, Chairman and Chief Executive Officer
Nick Parker, Chief Financial Officer
+44 (0)20 7831 3113
Matt Dixon / Sophie McMillan / Jon Snowball
Panmure Gordon & Co.:
+44 (0)20 7459 3600
Fred Walsh / Giles Stewart (Corporate Finance)
Adam Pollock, Charles Leigh-Pemberton (Corporate Broking)
+1 (510) 748 8200 x203
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