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From Apache Wiki <wikidi...@apache.org>
Subject [Hadoop Wiki] Update of "Distributions and Commercial Support" by SteveLoughran
Date Wed, 10 Dec 2014 10:26:43 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Hadoop Wiki" for change notification.

The "Distributions and Commercial Support" page has been changed by SteveLoughran:
https://wiki.apache.org/hadoop/Distributions%20and%20Commercial%20Support?action=diff&rev1=78&rev2=79

Comment:
Update HDP, cull intel entry :-(, add disclaimer at end of MapR's assertions of superiority.
Someone needs to add GCE, RAX, MSFT cloud offerings & RHAT entries.

  ## and generally get overexcited. This is not an advertisement site.
  ## 3. This is about products built from Hadoop or designed to run on it -not replacements.
  ## 4. Please don't be rude about the ASF products or any of your competitors.
+ ##    If you make claims that your product is "better" than the ASF releases then we may
cut them or at least demand evidence of validity against the current ASF releases.
  ## 5. You write it -you get to keep the links up to date. If they break we'll just cut the
links entirely.
  
  = Products that include Apache Hadoop or derivative works and Commercial Support =
@@ -19, +20 @@

  
  The sole products that can be called a release of Apache Hadoop come from [[http://www.apache.org/dyn/closer.cgi/hadoop/|apache.org]].
Some companies release or sell products that include the official Apache Hadoop release files,
and/or their own and other useful tools. Other companies or organizations release products
that include artifacts build from modified or extended versions of the Apache Hadoop source
tree. Such derivative works are not supported by the Apache Team: all support issues must
be directed to the suppliers themselves.
  
- The Apache Software Foundation strongly encourages users of Hadoop -in any form- to get
involved in the Apache-hosted mailing lists. Even though you may only get support through
the supplier of any derivative work of Apache Hadoop, by participating in the Hadoop user
and developer lists, you can become an active part of the Hadoop community. Your needs may
be addressed in future versions of the code, and you will be able to get in touch with many
other users of the technology.
+ The Apache Software Foundation strongly encourages users of Hadoop —in any form— to
get involved in the Apache-hosted mailing lists. Even though you may only get support through
the supplier of any derivative work of Apache Hadoop, by participating in the Hadoop user
and developer lists, you can become an active part of the Hadoop community. Your needs may
be addressed in future versions of the code, and you will be able to get in touch with many
other users of the technology.
  
  The Hadoop developers would like you to be aware that filing JIRA issues is not a way to
get support to get your Hadoop installation up and running. Those bug reports are not bugs,
and will [[InvalidJiraIssues|be closed as invalid]]. Either use the [[http://hadoop.apache.org/general_lists.html#User|hadoop-user]]
mailing list, the organisations providing support listed below, or delve into the Hadoop source
itself.
  
@@ -71, +72 @@

  
   * [[http://www.hortonworks.com|Hortonworks]]
    * Major contributors to Apache Hadoop and dedicated to working with the community to make
Apache Hadoop more robust and easier to install, manage, use, integrate and extend.
-   * Provides [[http://www.hortonworks.com/technology/hortonworksdataplatform/|Hortonworks
Data Platform Powered by Apache Hadoop]], which is a 100% open source big-data platform based
upon Apache Hadoop. HDP-2 is built on Apache Hadoop 2.2.
+   * Provides [[http://www.hortonworks.com/technology/hortonworksdataplatform/|Hortonworks
Data Platform Powered by Apache Hadoop]], which is a 100% open source big-data platform based
upon Apache Hadoop. HDP-2.2 is built on Apache Hadoop 2.6.
    * Provider of [[http://www.hortonworks.com/support/|expert technical support]], [[http://www.hortonworks.com/training/|training]]
and [[http://www.hortonworks.com/partners/|partner-enablement services]] for both end-user
organizations and technology vendors.
  
   * [[http://www.hstreaming.com|HStreaming]]
@@ -95, +96 @@

    * The HCM (Hadoop Cluster Management) tool is a solution that automates the cluster setup
and management activities, thus reducing the overall time, cost and effort required for setting
up and managing Hadoop clusters. [[http://bigdata.impetus.com/hadoop_mgmt_cluster_data#|More
info about HCM @Impetus]]
    * With a strong focus, established thought leadership and open source contributions in
the area of Big Data analytics and consulting services, Impetus uses its Global Delivery Model
to help technology businesses and enterprises evaluate and implement solutions tailored to
their specific context, without being biased towards a particular solution. [[http://bigdata.impetus.com/#|More
info about BigData @Impetus]]
  
-  * [[http://hadoop.intel.com/|Intel]]
-   * the [[http://hadoop.intel.com/|Intel® Distribution for Apache Hadoop]] is a product
based on Apache Hadoop, containing optimizations for Intel's latest CPUs and chipsets. It
includes the Intel® Manager for Apache Hadoop for managing a cluster.
- 
   * [[https://www.jaspersoft.com/big-data/|Jaspersoft]] – Embedded Open Source Business
Intelligence
    * Build reports, dashboards and analytics directly from Hadoop and other Big Data stores,
without having to move the data to another database.
    * Blend your Hadoop data with other data sources using Data Virtualization or traditional
ETL capabilities.
@@ -111, +109 @@

    * Another Apache project using Hadoop to build scalable machine learning algorithms like
canopy clustering, k-means and many more.
  
   * [[http://mapr.com|MapR Technologies]]
-   * MapR sells a high performance map-reduce framework based on Apache Hadoop that includes
many of the standard eco-system components.  A replacement file system and significant amount
of re-engineering of the MapReduce components allows allowing full significantly higher performance,
higher level of fault tolerance, distributed incremental backups, read-write access to the
cluster file store via NFS and other features.
+   * MapR sells a high performance map-reduce framework based on Apache Hadoop that includes
many of the standard eco-system components.  A replacement file system and significant amount
of re-engineering of the MapReduce components allows significantly higher performance, higher
level of fault tolerance, distributed incremental backups, read-write access to the cluster
file store via NFS and other features (the HDFS team would dispute some of these assertions).
  
   * [[http://lucene.apache.org/nutch|Nutch]] - Apache Nutch: flexible web search engine software
  
@@ -136, +134 @@

   * [[http://www.sematext.com/|Sematext International]]
    * Provides consulting services around Apache Hadoop and Apache HBase, along with large-scale
search using Apache Lucene, Apache Solr, and Elastic Search.
    * Runs the popular [[http://search-hadoop.com/|search-hadoop.com]] search service.
-  
+ 
-  * [[http://www.syncsort.com|Syncsort]] 
+  * [[http://www.syncsort.com|Syncsort]]
    * Syncsort provides high-performance software to collect, process and distribute data.
Syncsort runs natively in Hadoop. It does not generate any Java, Pig or HiveQL; doesn’t
need to compile, and doesn’t have any tuning or code maintenance requirements.
  
    * Syncsort Hadoop Solutions are used for:

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