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DataStax Addresses Unprecedented Demand in the High-Growth EMEA Market by Opening London Office

  • DataStax continues strong growth with more than 250 customers and 20 of the Fortune 100, including companies such as Netflix, eBay, Thomson Reuters and Synchronoss.
  • DataStax offers world’s first NoSQL big data platform with comprehensive enterprise-grade security features, DataStax Enterprise (DSE) 3.0.

LONDON – March 27, 2013 DataStax, the company that powers the big data apps that transform business, today announced that it has opened a London office to address the large and growing big data market in the EMEA region. Officially incorporated on March 5, 2013, DataStax EMEA provides sales, marketing and support services for DataStax’s commercial product, DataStax Enterprise (DSE) 3.0. The Apache Cassandra-based NoSQL big data platform delivers continuous availability support and performance, as well as elastic scaling across multiple data centers and the cloud.

DataStax Continues Strong Growth By Addressing Strategic EMEA Market

“We conducted a significant amount of business in Europe last year, and launching DataStax EMEA in the first quarter of 2013 will contribute to a breakout year for us in the region,” said Billy Bosworth, CEO, DataStax. “The Cassandra community is vibrant throughout EMEA, and we are addressing the huge demand we’ve seen from our existing customers as well as prospects.”

More than 250 customers, including 20 of the Fortune 100 and companies such as Netflix, eBay, Thomson Reuters and Synchronoss, rely on DataStax to power their big data apps. In October 2012, DataStax completed a $25 million C round of funding led by Meritech Capital Partners, with participation from existing investors Lightspeed Venture Partners and Crosslink Capital.  Now to increase its existing business and address significant growth opportunities in the region, DataStax EMEA is broadening the company’s product availability in the UK and other countries.

“DataStax’s expansion into Europe is indicative of growing global interest in NoSQL database technologies,” said Matt Aslett, research director, data management and analytics, 451 Research. “Enterprises around the world are seeing the potential in adopting NoSQL databases for new development projects to unlock the value in data that is unsuitable to be stored and processed in traditional relational databases.”

DataStax Enterprise (DSE) 3.0

DSE 3.0 offers businesses an integrated big data platform that combines a production-certified version of Apache Cassandra with Apache Solr and Apache Hadoop. DSE 3.0 delivers continuous availability support and performance, as well as elastic scaling across multiple data centers and the cloud. Introduced last month, the newest version of DataStax Enterprise is architected to securely manage real-time, analytic and enterprise search data all in the same database cluster and enable organizations to quickly search, manage and scale massive amounts of data.

“DataStax’s Cassandra-based platform helps us manage media and services for millions of users worldwide,” said Paddy Benson, engineering director, Synchronoss. “We operate at a massive scale supporting some of the world’s largest mobile carriers, so Cassandra’s ability to scale along with us and maintain strong performance has proved invaluable as we grow our business.”

About DataStax

DataStax powers the big data apps that transform business for more than 250 customers, including startups and 20 of the Fortune 100. DataStax delivers a massively scalable, flexible and continuously available big data platform built on Apache Cassandra™. DataStax integrates enterprise-ready Cassandra, Apache Hadoop™ for analytics and Apache Solr™ for search across multi-datacenters and in the cloud.

Companies such as Adobe, Healthcare Anytime, eBay and Netflix rely on DataStax to transform their businesses. Based in San Mateo, Calif., DataStax is backed by industry-leading investors: Lightspeed Venture Partners, Crosslink Capital and Meritech Capital Partners.  For more information, visit DataStax or follow us @DataStax.