Hortonworks Evolves Big Data at Hadoop Summit
Updated · Jun 15, 2017
Big Data vendor Hortonworks used the DataWorks Summit/Hadoop Summit this week as the venue to announce product and service updates that further enable the company’s Big Data platform.
The new Hortonworks DataFlow (HDF) 3.0 platform is what the company refers to as a, ‘data in motion’ platform, enabling users to collect data on-premises and in the cloud. Among the new features in HDF 3.0 is the new Streaming Analytics Manager (SAM) which is a drag-and-drop interface for building streaming data applications.
HDF 3.0 also introduces a new shared repository for data schemas that can be used with other Big Data streaming engines including Apache Store, Apace NiFi and Apache Kafka.
“To stay competitive in today’s interconnected world, businesses must harness the insights from data everywhere,” Scott Gnau, chief technology officer at Hortonworks, said in a statement. “With HDF 3.0, we are improving our customers’ experience by simplifying how they create and deploy streaming analytics applications to deliver real time analytics.”
From a business perspective, Hortonworks is evolving its business model to help support its customers that run Big Data workload both on-premises and in the cloud, with a new unified support subscription. The Hortonworks Flex Support Subscription is a new offering that provide a Hortonworks Data Platform support subscription that is transferable between cloud and on-premises deployments.
“Our customers are moving to the cloud in unprecedented numbers and they need a support model that matches today’s reality of hybrid deployments with variable load factors,” Jamie Engesser, vice president of product management at Hortonworks, said in a statement. “For the first time, Hortonworks customers can purchase one support subscription that gives them the flexibility to deploy HDP in the cloud, on-prem or in hybrid architectures as needed.”
Hortonworks is also expanding a partnership with IBM with the combination of the Hortonworks Data Platform (HDP) and the IBM Data Science Experiences along with IBM Big SQL.
“This partnership will provide an integrated and open data science and machine learning platform that lets teams easily collaborate and operationalize data science,” Rob Thomas, General Manager, IBM Analytics, said in a statement. “Incorporating advanced machine learning and deep learning capabilities, the combination of Hortonworks Data Platform with IBM’s Data Science Experience and the IBM Machine Learning platform can help clients achieve improved analytic results faster and at scale.”
Sean Michael Kerner is a senior editor at EnterpriseAppsToday and InternetNews.com. Follow him on Twitter @TechJournalist.
Sean Michael is a writer who focuses on innovation and how science and technology intersect with industry, technology Wordpress, VMware Salesforce, And Application tech. TechCrunch Europas shortlisted her for the best tech journalist award. She enjoys finding stories that open people's eyes. She graduated from the University of California.