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Tuesday, March 20, 2018

Hortonworks, Confluent and Waterline attempt to make Big Data easier

Three vendors, with announcements over the last two weeks, are providing evidence of some soul searching in the analytics industry around the complexity of its technologies. @Hortonworks, a spinoff of the original #Hadoop development team at Yahoo, is offering managed services for its own Hadoop distribution. @Confluent, the company behind the very popular @Apache Kafka streaming data platform, put its SQL query layer into general availability. And @Waterline Data, an important player in the data governance space, added new #GDPR and data optimization features to its core data catalog functionality. Horton hears a help cry Hortonworks' offering may be the most radical, in its own way. In addition to preexisting support subscriptions for its Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF) products, the company is now offering a new subscription level for both technologies called Hortonworks Operational Services. According to the company's press release, the subscription, announced today, offers "a fully managed environment for customers...and ongoing access to Hortonworks engineers and support teams." In that same release, Hortonworks CTO Scott Gnau says"At its heart, Hortonworks Operational Services is designed to reduce complexity when building, deploying and managing big data, whether it is on-prem or in the cloud..."

http://www.zdnet.com/article/hortonworks-confluent-and-waterline-make-big-data-easier/

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