Hortonworks, Inc. ® (NASDAQ: HDP), a leading innovator of open and connected data platforms, today announced a comprehensive strategy with new product advancements across its Connected Data Platforms, including Hortonworks Data Platform (HDP™) and Hortonworks DataFlow (HDF™). Hortonworks customers benefit from an open approach to securely manage data-in-motion and data-at-rest to unlock the transformational power of all data. Today’s announcements encompass a new distribution approach for Apache™ Hadoop® with the latest release of HDP 2.4, which includes the latest generation of Apache Spark 1.6, as well as the announcement of HDF 1.2.
Hortonworks Data Platform 2.4 – A New Distribution Strategy
Hortonworks is committed to delivering rapid innovations from the Apache Hadoop community to its customers, while also ensuring a reliable, secure, enterprise-ready data-at-rest platform. HDP allows customers to accumulate, analyze and act on information derived from data. Beginning with today’s release and moving forward, Hortonworks’ distribution strategy for HDP will consist of two different release cadences:
- Core Apache Hadoop components (HDFS, MapReduce and YARN) and Apache Zookeeper will be updated annually and aligned with the ODPi consortium.
- Extended Services (including Spark, Hive, HBase, Ambari and more), which run on top of the Core, will be logically grouped together and released continually throughout the year to match the pace of innovation occurring within each project team in the community.
As part of this rapid distribution model, Hortonworks today announced the general availability of Apache Spark 1.6, Apache Ambari 2.2 and SmartSense™ 1.2 in HDP 2.4, which is available immediately.
This is a defining moment for how we deliver advancements to our customers,” said Tim Hall, vice president of product management at Hortonworks. “We can give customers all the latest innovations in the moment without sacrificing a stable and reliable core. This will change the way people consume Hadoop.”
Hortonworks DataFlow 1.2 and New Streaming Analytics
HDF is a data-in-motion platform for real-time streaming of data and is a cornerstone technology for the Internet of Anything to ingest data from any source to any destination. HDF 1.2 now integrates streaming analytics engines Apache Kafka and Apache Storm for delivering actionable intelligence. HDF 1.2 will be available in Q1 of 2016.
One of the big reasons we chose Hortonworks was because its Connected Data Platforms are 100% open, allowing us to stay tightly aligned with the latest innovations coming from the open community,” said Jan Rock, senior manager, Royal Mail Group. “Together, HDP for data-at-rest and HDF for data-in-motion are exactly what our business needs to drive actionable insights.”
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