Hopkinton, MA - October 15, 2014 - EMC Corporation (NYSE: EMC) and Pivotal® today announced the Data Lake Hadoop Bundle 2.0, offering a complete turn-key offering featuring compute, analytics and storage for customers building scale-out Data Lakes for predictive analytics.
Data Lakes are gaining momentum as an infinitely scalable repository for critical data generated by traditional and next-generation workloads. EMC’s scale-out Data Lake is designed to be enterprise ready to help organizations derive immediate business value from Big Data.
Earlier this year, EMC® and Pivotal announced the first incarnation of the Data Lake Hadoop Bundle, linking enterprise Hadoop and predictive analytics with enterprise scale-out storage. Available today, the Data Lake Hadoop Bundle 2.0 includes EMC’s Data Computing Appliance (DCA), a high-performance big data computing appliance that drastically simplifies deployment and scaling of Hadoop and advanced analytics. DCA joins Isilon® scale-out NAS, as well as Pivotal HD and Pivotal HAWQ®, in this bundled offering—furthering the commitment of both EMC and Pivotal to deliver Hadoop for enterprise-class predictive analytics. A strategic addition to this bundle, DCA is optimized for big data workloads and provides the user with a streamlined experience, maximizing analytics performance and time to value.
The Data Lake Hadoop Bundle 2.0 is designed to help organizations accelerate the value of Hadoop Big Data initiatives in the enterprise while keeping acquisition and management costs lower than solutions assembled with disparate parts. The solution is comprised of a pre-tested, high performance Big Data analytic system featuring world-class EMC storage and advanced analytics on Hadoop through enterprise appliances, enabling a single, focused and easy to implement solution.
The Data Lake Hadoop Bundle 2.0 includes:
Data Lake Hadoop Bundle 2.0 is generally available today.
Ashish Nadkarni, Research Director, IDC
“EMC and Pivotal are offering tremendous value where customers need it most. Combining storage, compute and analytics capabilities for scale-out Data Lakes is tremendously valuable in this age of Big Data—and the addition of predictive functionality means that customers can quickly put this solution to good use to help positively impact their bottom line.”
Jeremy Burton, President, Products and Marketing, EMC
“Big Data is top of mind in organizations worldwide—but for so many businesses, this means they’re concerned about how to store it and harness its value. This bundled offering from EMC and Pivotal addresses the needs of customers today as they’re building their scale-out Data Lakes and offers a high performance system for leveraging Hadoop for Big Data analytics. It’s truly a turnkey, end-to-end solution designed to effectively command huge amounts of data.”
Scott Yara, President, Pivotal
“There are so many opportunities in Big Data, provided companies have the tools to effectively use it. By offering compute, storage and analytics capabilities for Data Lakes in a single bundle, EMC and Pivotal are enabling customers to really capture the value of Big Data. We’re working to make it more accessible for everyone, right out of the gate.”
EMC Corporation is a global leader in enabling businesses and service providers to transform their operations and deliver IT as a service. Fundamental to this transformation is cloud computing. Through innovative products and services, EMC accelerates the journey to cloud computing, helping IT departments to store, manage, protect and analyze their most valuable asset — information — in a more agile, trusted and cost-efficient way. Additional information about EMC can be found at www.EMC.com.
Pivotal offers a modern approach to technology that organizations need to thrive in a new era of business innovation. Our solutions intersect cloud, big data and agile development, creating a framework that increases data leverage, accelerates application delivery, and decreases costs while providing enterprises the speed and scale they need to compete. More at www.pivotal.io