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Hadoop >> mail # user >> Which release to use?


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Re: Which release to use?
Arun,

I second Joeś comment.
Thanks for giving us a heads up.
I will wait patiently until 0.23 is considered stable.
On Mon, Jul 18, 2011 at 11:19 PM, Joe Stein
<[EMAIL PROTECTED]>wrote:

> Arun,
>
> Thanks for the update.
>
> Again, I hate to have to play the part of captain obvious.
>
> Glad to hear the same contiguous mantra for this next release.  I think
> sometimes the plebeians ( of which I am one ) need that affirmation.
>
> One love, Apache Hadoop!
>
> /*
> Joe Stein
> http://www.medialets.com
> Twitter: @allthingshadoop
> */
>
> On Jul 18, 2011, at 11:06 PM, Arun Murthy <[EMAIL PROTECTED]> wrote:
>
> > Joe,
> >
> > The dev community is currently gearing up for hadoop-0.23 off trunk.
> >
> > 0.23 is a massive step forward with with HDFS Federation, NextGen
> > MapReduce and possible others such as wire-compat and HA NameNode.
> >
> > In a couple of weeks I plan to create the 0.23 branch off trunk and we
> > then spend all our energies stabilizing & pushing the release out.
> > Please see my note to general@ for more details.
> >
> > Arun
> >
> > On Jul 18, 2011, at 7:01 PM, Joe Stein <[EMAIL PROTECTED]>
> wrote:
> >
> >> So, last I checked this list was about Apache Hadoop not about
> derivative works.
> >>
> >> The Cloudera team has always been diligent (you rock) about redirecting
> non apache CDH releases to their list for answers.
> >>
> >> I commend those supporting apache releases of Hadoop too, very cool!!!
> >>
> >> But yeah, even I have to ask what the latest release will be.  Is there
> going to be a single Hadoop release or a continued branch that Horton
> maintains and will only support?
> >>
> >> There is something to be said for release from trunk that gets everyone
> on the same page towards our common goals.  You can pin the "state the
> obvious" paper on my back but kinda feel it had to be said.
> >>
> >> One love, Apache Hadoop!
> >>
> >> /*
> >> Joe Stein
> >> http://www.medialets.com
> >> Twitter: @allthingshadoop
> >> */
> >>
> >> On Jul 18, 2011, at 9:51 PM, Michael Segel <[EMAIL PROTECTED]>
> wrote:
> >>
> >>>
> >>>
> >>>
> >>>> Date: Mon, 18 Jul 2011 18:19:38 -0700
> >>>> Subject: Re: Which release to use?
> >>>> From: [EMAIL PROTECTED]
> >>>> To: [EMAIL PROTECTED]
> >>>>
> >>>> Mike,
> >>>>
> >>>> Just a minor inaccuracy in your email. Here's setting the record
> straight:
> >>>>
> >>>> 1. MapR directly sells their distribution of Hadoop. Support is from
>  MapR.
> >>>> 2. EMC also sells the MapR distribution, for use on any hardware.
> Support is
> >>>> from EMC worldwide.
> >>>> 3. EMC also sells a Hadoop appliance, which has the MapR distribution
> >>>> specially built for it. Support is from EMC.
> >>>>
> >>>> 4. MapR also has a free, unlimited, unrestricted version called M3,
> which
> >>>> has the same 2-5x performance, management and stability improvements,
> and
> >>>> includes NFS. It is not crippleware, and the unlimited, unrestricted,
> free
> >>>> use does not expire on any date.
> >>>>
> >>>> Hope that clarifies what MapR is doing.
> >>>>
> >>>> thanks & regards,
> >>>> Srivas.
> >>>>
> >>> Srivas,
> >>>
> >>> I'm sorry, I thought I was being clear in that I was only addressing
> EMC and not MapR directly.
> >>> I was responding to post about EMC selling a Greenplum appliance. I
> wanted to point out that EMC will resell MapR's release along with their own
> (EMC) support.
> >>>
> >>> The point I was trying to make was that with respect to derivatives of
> Hadoop, I believe that MapR has a more compelling story than either EMC or
> DataStax. IMHO replacing Java HDFS w either GreenPlum or Cassandra has a
> limited market.  When a company is going to look at a M/R solution cost and
> performance are going to be at the top of the list. MapR isn't cheap but if
> you look at the features in M5, if they work, then you have a very
> compelling reason to look at their release. Some of the people I spoke to
> when I was in Santa Clara were in the beta program. They indicated that MapR

NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB