Hortonworks HDF Version 1.2 Introduced 

SANTA CLARA, Calif., March 31 -- Hortonworks, Inc. (NASDAQ: HDP), a leading innovator of open and connected data platforms, today announced Hortonworks DataFlow (HDF) version 1.2 includes new processors that ease integration with log analytics systems such as Splunk, Sumo Logic, Graylog, LogStash and more to deliver easy, secure data ingest and edge analytics. HDF powered by Apache NiFi is an integrated platform to collect, conduct and curate real-time data, moving it from any source to any destination. This new capability will help customers contain the cost of increasing volumes of data and improve trouble-shooting with a more comprehensive view across all their data.

Log data can be complex to capture, typically collected in limited amounts and difficult to operationalize at scale. HDF expands the capabilities of log analytics integration options for easy and secure edge analytics of log files in the following ways:

• More efficient collection and movement of log data by prioritizing, enriching and/or transforming data at the edge to dynamically separate critical data. The relevant data is then delivered into log analytics systems in a real-time, prioritized and secure manner.

• Cost-effective expansion of existing log analytics infrastructure by improving error detection and troubleshooting through more comprehensive data sets.

• Intelligent edge analytics to support real-time content-based routing, prioritization, and simultaneous delivery of data into Connected Data Platforms, log analytics and reporting systems for comprehensive coverage and retention of Internet of Anything data.

“Collecting log files and machine data provides customers with vital insight into enterprise operations, but they often face efficiency and cost challenges of doing so at scale,” said Jamie Engesser, vice president and general manager, Emerging Products, Hortonworks. “Real-time edge analytics with Hortonworks DataFlow now featuring expanded log ingestion capabilities significantly improves the ease and effectiveness of collecting, moving and managing the volumes of critical machine data generated today.”

More information about HDF log analytics optimization is available here.

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Source: Hortonworks