SAN FRANCISCO, Calif., — March 1, 2016 — Hortonworks, Inc. ® (NASDAQ: HDP) and Hewlett Packard Labs, the central research organization of Hewlett Packard Enterprise (NYSE: HPE), today announced a new collaboration to enhance Apache Spark, one of the most active Apache big data projects. The collaboration will center around an entirely new class of analytic workloads that benefit from large pools of shared memory.
Early results of the collaboration include the following:
“This collaboration indicates our mutual support of and commitment to the growing Spark community and its solutions,” said Scott Gnau, chief technology officer, Hortonworks. “We will continue to focus on the integration of Spark into broad data architectures supported by Apache YARN as well as enhancements for performance and functionality and better access points for applications like Apache Zeppelin.”
“We’re hoping to enable the Spark community to derive insight more rapidly from much larger data sets without having to change a single line of code,” said Martin Fink, EVP and CTO, Hewlett Packard Enterprise and Hortonworks Board Member. “We’re very pleased to be able to work with Hortonworks to broaden the range of challenges that Spark can address.”
Hortonworks and Hewlett Packard Enterprise plan to contribute the new technologies to the Apache Spark community.
Hortonworks is an industry leading innovator that creates, distributes and supports enterprise-ready open data platforms and modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. Hortonworks is focused on driving innovation in open source communities such as Apache Hadoop, NiFi and Spark. Along with its 1,600+ partners, Hortonworks provides the expertise, training and services that allow customers to unlock transformational value for their organizations across any line of business.
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