HP Releases Predictive Big Data Analytics Platform Featuring Distributed R

On Tuesday, HP announced details of HP Haven Predictive Analytics, a platform that delivers machine learning and statistical analysis for large-scale datasets. HP Haven Predictive Analytics features distributed R, an analytics platform based on the R programming language designed to tackle the most complex Big Data predictive analytics tasks in the industry. Moreover, the HP Haven Predictive Analytics platform boasts support for SQL and HP Vertica in addition to preconfigured algorithms that allow developers to leverage out of the box, R-based analytics. The hallmark of the offering, however, consists of the distributed R analytical engine that leverages parallel R processing to allow the power of R’s predictive analytics to tackle big data sets. The conjunction of the platform’s data acceleration functionality with its distributed use of the open source R programming language stands to improve analytic performance on large datasets and enable statisticians to derive actionable business intelligence from petabytes of data with speed and analytic sophistication. As such, HP Haven Predictive Analytics augments the analytic power of the SQL on Hadoop Vertica platform by delivering a Big Data predictive analytics platform capable of analyzing structured and unstructured data via the cloud or an on premise deployment.

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MapR And HP Vertica Partner To Deliver SQL On Hadoop Via HP Vertica Analytics Platform

MapR Technologies today announced a partnership with HP Vertica that integrates the HP Vertica Analytics Platform with MapR’s enterprise-grade distribution of Apache Hadoop. As a result of the partnership, users of the HP Vertica Analytics Platform on MapR have the capability to leverage the SQL capabilities of the HP Vertica Analytics Platform against data stored in Hadoop clusters. The HP Vertica Analytics Platform constitutes yet another “SQL-on-Hadoop” solution that competes with the likes of Apache Hive, Concurrent’s Lingual, Cloudera’s Impala, Hadapt and the Hortonworks Stinger initiative. As noted in GigaOm, MapR itself leads Apache Drill, an open source initiative to develop a highly scalable, SQL-based interactive query engine for Apache Hadoop, but clearly made a strategic decision to expand the range of users of its Hadoop distribution by partnering with HP Vertica. Today, MapR also announced the release of the latest version of its Hadoop distribution featuring support for Hadoop 2.2 and YARN. Notably, users running Hadoop 1.x can take advantage of YARN’s resource management abilities to preview the functionality of YARN before upgrading to Hadoop 2.0. HP Vertica Analytics Platform on MapR is currently available in early access mode and will be generally available in March.