Enterprise Apache Hadoop provider Hortonworks announced Data Platform (HDP) version 2.2 that enables organizations to adopt a modern data architecture with Hadoop YARN as the architectural center
"HDP 2.2 reflects the incredible amount of innovation that has occurred within the Apache Hadoop community in the past six months," said Tim Hall, vice president of product management, Hortonworks. "We listened to our customers, worked tirelessly within the various Apache projects to develop hundreds of new features and remained consistent in delivering all of our technology and product innovations back to the community. As a result, HDP 2.2 brings a tremendous amount of enterprise-ready features to the platform while adhering to enterprise requirements."
HDP 2.2 innovations developed within Hadoop and its related ecosystem of projects add over 100 features that integrate with YARN and allow organizations to simultaneously utilize batch, interactive and real-time methods to interact with a single set of data stored within Hadoop, the company said.
New functionalities:
New and Improved YARN-Ready Engines
– Enterprise-Ready Spark on YARN for data science
– Apache Kafka for processing data from the "Internet of Things"
Enterprise SQL at Hadoop scale with Stinger.next
– Updated SQL semantics for ACID transactions in Apache Hive
– Improved SQL query performance with cost based optimizer
– ORC file compression presents storage efficiencies
Apache Argus for centralized security administration and policy enforcement
– Integration with Storm and Knox
– Ability to enforce policy with Hive and HBase
Extensive management and monitoring improvements
– 100% uptime target with cluster rolling upgrades
– Ambari Views for custom visualization
– Ambari Blueprints to deliver template cluster deployment
Improvements for business continuity
– Automated cluster backup to the cloud for Microsoft® Azure™ and Amazon S3™
– Ensure cluster uptime with rolling upgrades
An HDP 2.2 preview is available for download at Hortonworks.com/hdp.
General availability to customers will be in November 2014.
The firm partners offered support.
HP
"This year we extended our strategic partnership with Hortonworks," said Colin Mahony, senior vice president and general manager, HP Software Big Data. "We are very excited about the launch of HDP 2.2 as Hadoop is a key part of the HP HAVEn big data strategy."
Microsoft
"For the past few years, Microsoft has worked closely with Hortonworks to contribute back to the Hadoop community and bring Hadoop to Microsoft Azure through HDInsight and Windows Server with HDP," said T. K. "Ranga" Rengarajan, corporate vice president, Data Platform at Microsoft. "The introduction of HDP 2.2 gives customers even more deployment options including the ability to automatically replicate their on premise data in the Azure cloud or to spin up a HDP cluster as a multi-node virtual machine. We’re pleased to be Hortonworks’ preferred cloud provider, and we look forward to helping customers solve their big data challenges."
Red Hat
Greg Kleiman, director of strategy, Storage and Big Data, Red Hat. "By tightly integrating Red Hat solutions with the Hortonworks Data Platform 2.2, we can offer our customers speed and agility in building open hybrid cloud solutions for running their new data life cycle on Hadoop."
SAP
Prasad Illapani, Director, SAP HANA-Big Data PM & Strategy, SAP Labs LLC. "By reselling and integrating with the Hortonworks Data Platform 2.2, our customers have the option of combining the power of SAP HANA Platform with enterprise Hadoop Distributions, such as Hortonworks’ open source offering, to achieve infinite storage scalability and data exploration."
Teradata
"The HDP 2.2 release provides key enterprise capabilities that our Teradata customers are demanding and features in support of Teradata’s strategy to further integrate Hortonworks Data Platform with Teradata product offerings," said Scott Gnau, president of Teradata Labs. "In particular, we are excited about the improvements with YARN, new security features that Hortonworks has submitted to the Apache Software Foundation and the ability to integrate Ambari with Teradata’s value-added capabilities."