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Early Access Release of HP Vertica Analytics Platform on MapR

Interactive SQL-on-Hadoop solution for big data analytics

MapR Technologies, Inc. announced the early access release of the HP Vertica Analytics Platform on MapR at the O’Reilly Strata Conference: Making Data Work.

This interactive SQL-on-Hadoop solution integrates HP Vertica’s analytic platform on MapR’s distribution for Hadoop. It provides 100% ANSI SQL-compliance, with interactive analytic capabilities, and deep business intelligence (BI) and ETL tool support to improve analyst productivity through exploration of semi-structured data as well as traditional structured data.  

Organizations embracing Hadoop have been struggling to empower large groups of business analysts who require sophisticated SQL and BI tools to do their jobs, but feel hand-cuffed when using incomplete, SQL-like approaches,” said John Schroeder, CEO and cofounder, MapR . “Providing HP Vertica’s very high-performance and rich SQL and built-in analytic functions on MapR’s best-of-breed platform for Hadoop sets business analysts free to do faster, interactive analytics from data harnessed by Hadoop.

HP Vertica Analytics Platform on MapR is a great example of a true big data architecture, where powerful analytics and SQL are tightly integrated with the full power and breadth of data in Hadoop, giving customers new insights to their business,” said Colin Mahony, VP and GM, HP Vertica. “This combination of industry-leading platforms provides organizations with an integrated solution that increases performance and reliability with a smaller data center footprint, eliminating technology limits that often force businesses to make compromises.

Featuring: 

  • Lower TCO
  • Use same hardware for running both MapR and HP Vertica with no pre-allocation of nodes
  • Data protection with less hardware than other distributions of Hadoop
  • Open SQL-on-Hadoop
  • Achieve performance across a range of data types than other SQL-on-Hadoop solutions
  • Use open industry ANSI SQL, POSIX, and NFS standards
  • Analytics
  • Run and visualize exploratory analytics on semi-structured data and operationalize insights in a single step on a unified platform
  • Analyze data in-place with richest set of built-in analytic functions directly on Hadoop
  • Take advantage of an integrated solution with no connectors required
  • Reliability
  • Take advantage of the only distribution to offer full HA for Hadoop
  • Use MapR’s point-in-time snapshots and mirrors for data recovery and reliability 

HP Vertica Analytics Platform on MapR will be made available in March.

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