"There's this whole group of data workers and data tools that exist in the enterprises we work with that can't easily talk to Hadoop," Klahr says. "But thousands of folks can talk SQL. We're bringing a pure SQL database engine and we're embedding it into our Hadoop distribution. It's a SQL database that you can connect any BI tool to."
With HAWQ in place, Hadoop can become a singular data repository from which organizations can both run MapReduce queries and SQL queries with ease.
"With Pivotal HD, we can check off many of the items on our Hadoop wish-list--things like plug-in support for the ecosystem of tools, improved data management and greater elasticity in terms of the storage and compute layer," says Steven Hirsch, chief data officer and senior vice president of Global Data Services at NYSE Euronext.
"But above all," Hirsch says, "it provides true SQL query interfaces for data workers and tools--not a superficial implementation of the kind that's so common today, but a native implementation that delivers the capability of real and true SQL processing and optimization."
"Having a single Hadoop infrastructure for Big Data investigation and analysis changes everything," Hirsch says. "Now add all of this functionality to the fact that the SQL performance is up to 100X faster than other offerings and you have an environment that we at NYSE Euronext are extremely excited about."
EMC plans to make Pivotal HD available at the end of the first quarter as a software-only or appliance-based solution.
Thor Olavsrud covers IT Security, Big Data, Open Source, Microsoft Tools and Servers for CIO.com. Follow Thor on Twitter @ThorOlavsrud. Follow everything from CIO.com on Twitter @CIOonline, Facebook, Google + and LinkedIn. Email Thor at email@example.com