Hadoop Central finally gets first product

Hortonworks announces Version 1 of its flagship Data Platform

Chris Mayer

With four contenders jostling for Hadoop rule, the team behind MapReduce step up with Hortonworks Data Platform 1.0

The team at the heart of Apache Hadoop development has finally
released their first dedicated stack, as Hortonworks announced the
availability of Hortonworks Data Platform 1.0 at Hadoop Summit 2012

Since the release of Apache Hadoop 1.0, a number of contenders
have entered the fray with Hadoop-based distros, but until now, the
team central to Apache Hadoop development from the start had held
off. Whilst Hadoop’s open source core is driven out of the Apache
Software Foundation, support comes from companies like Cloudera and
MapR (often partnering up with larger vendors to provide
propertiary extensions) but Hortonworks were keen to wait until now
to show their hand. And with good reason.

The company, formed a year ago as a spinout of the Yahoo! Hadoop
team, have been instrumental in the first major release, as they
were entrusted with creating one key aspect of Hadoop, in
data-cruncher MapReduce. They’ve also laid the foundations down for
Hadoop 2.0, which recently saw an alpha
. Hortonworks are offering something slightly different
in Data Platform, with it being the only option thus far that is
100% based on open source Apache Hadoop.

Speaking to
The Register
John Kreisa, vice president of
marketing at Hortonworks, explained why they were going for a pure
Hadoop stack:

There are no proprietary bits in the Hortonworks
Data Platform, no lock in, and we (sic) doing this because we
believe that it will greatly facilitate Hadoop

Given their instrumental part in getting Hadoop this
far along the line, it’s a shrewd move. Many of those already
channelling Hadoop as part of their production will want no ties to
other vendors, and get that level of quality assurance from the
company most involved with Apache Hadoop development

The platform itself claims to be a ‘an
enterprise-class solution architecture for high availability’.
Teaming up with VMware, who’ve provided the infrastructure in
vSphere, Hortonworks Data Platform strikes up partnerships with
other spinoff Hadoop projects such as the scripting project Pig,
querying hub Hive, metadata king HCatalog (Hortonworks stands alone
in offering that) and Zookeeper to keep the whole thing ticking
over smoothly. There’s also the standard HDFS and MapReduce duo
within the architecture too, as expected.

As is company
policy, Hortonworks will contribute code from its HA solution back
in the Hadoop project itself. The flexibility offered here is sure
to entice many to the distro, as long as it gets the right
marketing – Data Platform can adapt to the upcoming Hadoop 2.0
release when it arrives.

Now that there’s five stacks at the
table, all with merit, (ClouderaEMC
, Hortonworks, IBM and
MapR), the Hadoop choice just
became a little bit harder for enterprises. But if you’re looking
for no tie-ins, seamless integration and pure tried and tested
Hadoop 1.0, Hortonworks Data Platform might just be the one for

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