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From Apache Wiki <wikidi...@apache.org>
Subject [Hadoop Wiki] Update of "Distributions and Commercial Support" by SteveLoughran
Date Fri, 15 Jul 2011 20:03:03 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:
http://wiki.apache.org/hadoop/Distributions%20and%20Commercial%20Support?action=diff&rev1=31&rev2=32

Comment:
There's always a SPOF. And trim the maketing from the AWS entry. 

  Entries are listed alphabetically by company name.
  
   * [[http://aws.amazon.com/|Amazon Web Services]]
+   * Amazon offers a version of Apache Hadoop on their EC2 infrastucture, sold as  [[http://aws.amazon.com/elasticmapreduce|Amazon
Elastic MapReduce]]. 
-   * We provide [[http://aws.amazon.com/elasticmapreduce|Amazon Elastic MapReduce]]. It's
a web service that provides a hosted Hadoop framework running on the web-scale infrastructure
of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).
-   * Our customers can instantly provision as much or as little capacity as they like to
perform data-intensive tasks for applications such as web indexing, data mining, log file
analysis, machine learning, financial analysis, scientific simulation, and bioinformatics
research.
  
   * [[http://www.cascading.org/|Cascading]] - Cascading is a feature rich API for defining
and executing complex and fault tolerant data processing workflows on a Hadoop cluster.
  
@@ -63, +62 @@

    * 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
the standard eco-system components.  A significant amount of re-engineering of the file system
and the map-reduce components allows significantly higher performance than standard Hadoop
while eliminating problems with single points of failure and allowing full read-write access
to the cluster file store via NFS.
+   * MapR sells a high performance map-reduce framework based on Apache Hadoop that includes
the standard eco-system components.  A significant amount of re-engineering of the file system
and the map-reduce components allows significantly higher performance than standard Hadoop
while eliminating the primary single points of failure and allowing full read-write access
to the cluster file store via NFS.
  
   * [[http://lucene.apache.org/nutch|Nutch]] - flexible web search engine software
  

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