Hortonworks release cadence balances innovation with reliable Hadoop core
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"This is a defining moment for how we deliver advancements to our customers," says 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."
Beginning today, the distribution strategy for HDP will follow to different release cadences:
To underscore its commitment to the new distribution strategy, Hortonworks on Tuesday announced the general availability of Apache Spark 1.6, Apache Ambari 2.2 and SmartSense 1.2 in HDP 2.4.
In addition, Hortonworks DataFlow (HDF) 1.2, its data-in-motion platform for real-time streaming of data, will be available in the first quarter of this year. The new release improves support for streaming analytics with the addition of support for Apache Kafka and Apache Storm.
By bringing together HDP for data-at-rest and HDF for data-in-motion into an integrated whole, Hortonworks is seeking to provide what it calls its Connected Data Platforms. The idea is to close the loop on predictive analytics, allowing it to turn what it calls the "Internet of Anything" into actionable insights.
HDF is intended to make it easy for customers to automate and secure data flows and to collect, conduct and curate real-time business insights and actions derived from data in motion. Combined with HDP, it allows users to bring together streaming data and historical data into a cohesive whole to create predictive analytics applications.
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"One of the reasons we chose Hortonworks was because its Connected Data Platforms are 100 percent open, allowing us to stay tightly aligned with the latest innovations coming from the open community," says Jan Rock, senior manager at Hortonworks customer 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."