Big Data News: Continuuity Raises $10 Million for Hadoop Platform

Continuuity raises $10 million for Hadoop cloud platform, HP & Capgemini partner on analytics, DataDirect Networks updates cloud storage appliance.

John Rath

November 15, 2012

3 Min Read
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Here’s our review of some of this week’s noteworthy links for big data:

Continuuity raises $10 million. Big data application platform Continuuity announced a $10 million Series A funding round. Battery Ventures and Ignition Partners led the round, and were joined by returning and new investors Andreessen Horowitz, Data Collective and Amplify Partners. The funds will be used to accelerate product development and drive its go-to-market strategy. Last month at Hadoop World 2012 the company came out of stealth mode with its Continuuity AppFabric. Delivered as a cloud platform, the company’s flagship product harnesses the full power of the Hadoop ecosystem, allowing developers to rapidly deploy, scale and manage Big Data applications both in and outside of the firewall. “With the surge of Big Data over the past few years, it’s no surprise companies are striving to derive value from the ever growing amount of data. New kinds of Big Data applications that are able to pull meaning from data at scale will enable them to do this,” said Cameron Myhrvold, Founding Partner at Ignition Partners. “Continuuity is making it possible for the existing legions of application developers to invent and deploy such apps. At Ignition Partners, it’s our pleasure to have the opportunity to invest in bringing Continuuity’s vision to market.”

HP and Capgemini partner for big data platform.HP (HPQ) and Capgemini  announced that the companies are partnering to deliver service offerings that address the growing need for cost-effective real-time analytics of Big Data. One performance analytics product Capgemini is releasing will assess the customer’s existing analytics infrastructure and recommend where the customer would benefit from faster queries, reduced costs and real-time analytics. It will also launch service offerings based on the HP Vertica Analytics Platform to allow customers to make the most of their big data. HP Vertica solutions from Capgemini will include an in-database analytics capability for marketing and social media, and analyzing predictive maintenance for industries like communications, transportation, manufacturing and energy. "Many of our clients are struggling to analyze the massive amounts of data they generate through operations and other sources, like social media and customer service calls,” said Scott Schlesinger, vice president and head, Business Information Management, Capgemini North America. “By partnering with HP Vertica, our customers can combine all of their available data sources and analyze that data over larger time periods, all with very fast response times, allowing them to get a clear picture of what’s happening in their business right now.”

DDN and General Atomics power big data insight.  DataDirect Networks (DDN)  announced the engineering of its Web Object Scaler (WOS) cloud storage appliance in conjunction with General Atomics Nirvana SRB federated knowledge management software. Designed to process large amounts of diverse data from data streams, sensors and computational simulations, this solution facilitates knowledge creation through the analysis and synthesis of data across globally curated information volumes. With WOS, Nirvana SRB benefits from industry-leading cloud storage performance, infrastructure and advanced data protection advantages that scale to manage up to 256 billion information assets from a single, global storage namespace. “When massive amounts of data must be efficiently shared and curated by data-intensive and global organizations, traditional storage systems are both hard to manage and offer little in terms of information value extraction,” said Jeff Denworth, Vice President of Marketing, DDN. “Together with SRB, our WOS customers benefit from cloud-scale access and global distribution of intelligently curated Big Data volumes that now have the power to fuel computational research and analytics at massive scale.”

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