Hortonworks Unveils DataFlow 3.0 for Streaming Analytics


SAN JOSE, Calif., June 12, 2017 — Hortonworks, Inc.  (NASDAQ: HDP), a leading innovator of open and connected data platforms, today announced the general availability of Hortonworks DataFlow (HDF) 3.0, the next generation of its open source data-in-motion platform. HDF enables customers to collect, curate, analyze and act on all data in real-time, across the data center and cloud.

The growth of the Internet of Things brings new paradigm data from mobile devices, wearable technology and sensors which enterprises can use to uncover actionable intelligence in real-time. Gartner estimates that, “By 2020, 70% of organizations will adopt data streaming to enable real-time analytics” and as such, adoption of HDF has accelerated significantly year-over-year. HDF is the industry’s first open source platform upon which enterprises can quickly build streaming applications for real-time analytics.

“To stay competitive in today’s interconnected world, businesses must harness the insights from data everywhere,” said Scott Gnau, chief technology officer at Hortonworks. “Increasingly, this means from point of creation on connected devices and it’s crucial to make decisions as close as possible to the edge device. 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.”

Streaming Analytics Manager
HDF 3.0 introduces Streaming Analytics Manager (SAM), allowing application developers, business analysts and administrators the ability to build streaming applications without writing a single line of code therefore greatly simplifying the process and speeding an application’s time to market. With simple drag-and-drop interface, SAM makes it easy to design, develop, test, deploy and maintain streaming applications on HDF.

Schema Registry
A new shared repository of schemas allows applications to flexibly interact with each other across multiple streaming engines including Apache Kafka, Apache Storm and Apache NiFi. Customers benefit from end-to-end data governance and increased operational efficiency.

“Building streaming applications is complex and time-consuming. There is tremendous market demand for an easier way to build next generation streaming analytics applications,” said Jim Curtis, senior analyst at 451 Research. “With the new Streaming Analytics Manager and Schema Registry features in HDF, Hortonworks is correct to focus its efforts on addressing these challenges which can further facilitate an enterprise’s efforts to glean value from streaming data.”

Expanded Partnership with IBM Power Systems
HDF 3.0 will also be newly available for IBM Power Systems to support a broad range of streaming analytics applications on servers designed for data intensive workloads like big data and cognitive analytics. The combination of HDF and Power Systems delivers industry-leading performance and efficiency for streaming analytics and makes it easier to manage data-in-motion workloads.

“IBM is thrilled to expand our collaboration with Hortonworks to help clients accelerate data analytics for cognitive applications,” said Tim Vincent, vice president and IBM Fellow, Cognitive Systems Software. “HDF on Power Systems brings industry-leading system performance to the edge of the data platform to fuel our clients’ competitive advantage.”

Hortonworks DataFlow Resources

About Hortonworks

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, Apache NiFi and Apache Spark. Along with its 2,100+ partners, Hortonworks provides the expertise, training and services that allow customers to unlock transformational value for their organizations across any line of business.