EMC released a free version of the database technology it acquired last year from Greenplum.
EMC released a free version of its data
warehousing technology Feb. 1 with an eye toward developers and big data
The release of the Community Edition of the EMC
Greenplum Database joins the Greenplum Data
in the tree of fruits from the company's acquisition of
Greenplum last July.
The freeware, which mixes Greenplum's massively parallel processing
(MPP) technology with analytic algorithms and data mining tools, is aimed
specifically at developers and data scientists, according to EMC.
It includes MADlib, an open-source analytic algorithms library designed to
offer data-parallel implementations of mathematical, statistical and machine
learning methods for structured and unstructured data, as well as Alpine Miner,
a third-party analytics tool.
"We believe that it takes a community for the world to realize the
extraordinary value that can come from Big Data, and no single company can do
this alone," said Scott Yara, vice president of EMC's
Data Computing Products Division. "A lot of people are getting started
with data warehousing and analytics for the first time, so we want to give them
the platform to get the work done. That started about a year and a half ago
when we released the Greenplum Single Node Edition, which was really the first
iteration of Community Edition. It has since had tens of thousands of downloads."
When it acquired
, EMC said it was
increasing its focus on big data. In the months since then, EMC's
Data Computing Products Division has doubled its workforce, Yara said.
"We think that our approach represents the new way, the net new
opportunity in deeply analyzing big data," he said. "We believe that
our growing customer base is realizing that they need a new class of product
outside the traditional EDW to realize greater value from their data, faster and
to remain competitive."
"Community Edition is about empowering developers, and because of our
software heritage, no other company is better positioned to take the world of Big
Data to the next level," Yara added. "Our competitors who are
hardware by nature aren't doing this, and it would be difficult for them to
embrace this in the full-hearted way we have."