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	<title>Comments on: Amazon&#8217;s new data warehousing service takes aim at &#8220;old guard&#8221; IT giants</title>
	<atom:link href="http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/feed/" rel="self" type="application/rss+xml" />
	<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/</link>
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		<title>By: Barb Darrow</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1230888</link>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<pubDate>Wed, 05 Dec 2012 20:09:27 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1230888</guid>
		<description><![CDATA[thanks for your notes. I&#039;ve corrected the story to reflect the correct pricing. Sorry it took me so long.]]></description>
		<content:encoded><![CDATA[<p>thanks for your notes. I&#8217;ve corrected the story to reflect the correct pricing. Sorry it took me so long.</p>
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	<item>
		<title>By: Josh Chu</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1230492</link>
		<dc:creator><![CDATA[Josh Chu]]></dc:creator>
		<pubDate>Wed, 05 Dec 2012 16:57:26 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1230492</guid>
		<description><![CDATA[The cost of the terabyte per year isn&#039;t correct.  It&#039;s actually $1000/terabyte/year.  See http://aws.typepad.com/aws/2012/11/amazon-redshift-the-new-aws-data-warehouse.html for more information]]></description>
		<content:encoded><![CDATA[<p>The cost of the terabyte per year isn&#8217;t correct.  It&#8217;s actually $1000/terabyte/year.  See <a href="http://aws.typepad.com/aws/2012/11/amazon-redshift-the-new-aws-data-warehouse.html" rel="nofollow">http://aws.typepad.com/aws/2012/11/amazon-redshift-the-new-aws-data-warehouse.html</a> for more information</p>
]]></content:encoded>
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		<title>By: George Kong</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1227365</link>
		<dc:creator><![CDATA[George Kong]]></dc:creator>
		<pubDate>Tue, 04 Dec 2012 10:52:18 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1227365</guid>
		<description><![CDATA[I am confused.  The picture shows 1.6 PB costing several million dollars.  16 TB costs 32K on Amazon.  If you scale that up to 1.6 PB, that&#039;s 3.2 million.  Isn&#039;t that the same thing?]]></description>
		<content:encoded><![CDATA[<p>I am confused.  The picture shows 1.6 PB costing several million dollars.  16 TB costs 32K on Amazon.  If you scale that up to 1.6 PB, that&#8217;s 3.2 million.  Isn&#8217;t that the same thing?</p>
]]></content:encoded>
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	<item>
		<title>By: mikelamble</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1220626</link>
		<dc:creator><![CDATA[mikelamble]]></dc:creator>
		<pubDate>Fri, 30 Nov 2012 22:40:01 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1220626</guid>
		<description><![CDATA[Amazon&#039;s Redshift announcement validates that enterprises are ready for cloud-based big data warehousing solutions. XtremeData, also available on Amazon as well as other clouds, is targeted for organizations that need a massively scalable DBMS solution for mixed read and write workloads, for example, with serious ELT. Redshift (a column-store licensed from ParAccel) is well-suited for read-only data marts of all sizes. The market is rapidly moving to a tipping point where the specialized solutions available on premise are becoming available on the cloud, Amazon and others.]]></description>
		<content:encoded><![CDATA[<p>Amazon&#8217;s Redshift announcement validates that enterprises are ready for cloud-based big data warehousing solutions. XtremeData, also available on Amazon as well as other clouds, is targeted for organizations that need a massively scalable DBMS solution for mixed read and write workloads, for example, with serious ELT. Redshift (a column-store licensed from ParAccel) is well-suited for read-only data marts of all sizes. The market is rapidly moving to a tipping point where the specialized solutions available on premise are becoming available on the cloud, Amazon and others.</p>
]]></content:encoded>
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	<item>
		<title>By: DW Consultant</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1220221</link>
		<dc:creator><![CDATA[DW Consultant]]></dc:creator>
		<pubDate>Fri, 30 Nov 2012 18:13:00 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1220221</guid>
		<description><![CDATA[AMZN seems to be on the right track. From listening to the webinar, it sounds that there are lots of differences between ParAccel and Vertica. ParAccel has more enterprise features as compared to VT and has lot more enterprise customers in investment banking and retail. VT needs projections for performance which means not great for adhoc analysis. It will be interesting to see how it plays out,  VT is well suited for operational reporting needs while ParAccel will be more analytical workload. At the end, customers can now choose right tool for the job!!!]]></description>
		<content:encoded><![CDATA[<p>AMZN seems to be on the right track. From listening to the webinar, it sounds that there are lots of differences between ParAccel and Vertica. ParAccel has more enterprise features as compared to VT and has lot more enterprise customers in investment banking and retail. VT needs projections for performance which means not great for adhoc analysis. It will be interesting to see how it plays out,  VT is well suited for operational reporting needs while ParAccel will be more analytical workload. At the end, customers can now choose right tool for the job!!!</p>
]]></content:encoded>
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	<item>
		<title>By: Brian Reeves</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1218211</link>
		<dc:creator><![CDATA[Brian Reeves]]></dc:creator>
		<pubDate>Thu, 29 Nov 2012 20:14:47 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1218211</guid>
		<description><![CDATA[Linkedin or it&#039;s news writers seem to be in love with Amazon Web Services.  Every day AWS is receiving FREE advertisements in the news feed. AWS is trying to penetrate the Enterprise market but Verizon/Terremark is already built for Enterprise.  Why wait for AWS to get it right.  VT has been built to handle Enterprise level applications without the normal concern of security.  www.terremark.com]]></description>
		<content:encoded><![CDATA[<p>Linkedin or it&#8217;s news writers seem to be in love with Amazon Web Services.  Every day AWS is receiving FREE advertisements in the news feed. AWS is trying to penetrate the Enterprise market but Verizon/Terremark is already built for Enterprise.  Why wait for AWS to get it right.  VT has been built to handle Enterprise level applications without the normal concern of security.  <a href="http://www.terremark.com" rel="nofollow">http://www.terremark.com</a></p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Barb Darrow</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1217900</link>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<pubDate>Thu, 29 Nov 2012 17:53:11 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1217900</guid>
		<description><![CDATA[absolutely... comment in this story shows that http://gigaom.com/cloud/for-data-warehousing-startups-amazon-is-both-friend-and-rival/]]></description>
		<content:encoded><![CDATA[<p>absolutely&#8230; comment in this story shows that <a href="http://gigaom.com/cloud/for-data-warehousing-startups-amazon-is-both-friend-and-rival/" rel="nofollow">http://gigaom.com/cloud/for-data-warehousing-startups-amazon-is-both-friend-and-rival/</a></p>
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	</item>
	<item>
		<title>By: Jon</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1217672</link>
		<dc:creator><![CDATA[Jon]]></dc:creator>
		<pubDate>Thu, 29 Nov 2012 16:21:27 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1217672</guid>
		<description><![CDATA[Columnar datastore with compression.  Sounds like HP/Vertica.]]></description>
		<content:encoded><![CDATA[<p>Columnar datastore with compression.  Sounds like HP/Vertica.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ravi</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1216461</link>
		<dc:creator><![CDATA[Ravi]]></dc:creator>
		<pubDate>Thu, 29 Nov 2012 06:00:49 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1216461</guid>
		<description><![CDATA[I suspect Oracle and SAP who also offer Amazon based date warehouses won&#039;t give up so easily.  Amazon may have fired a shot across the bow with RedShift but it will need to prove itself out to enterprises.  http://ravistechblog.wordpress.com]]></description>
		<content:encoded><![CDATA[<p>I suspect Oracle and SAP who also offer Amazon based date warehouses won&#8217;t give up so easily.  Amazon may have fired a shot across the bow with RedShift but it will need to prove itself out to enterprises.  <a href="http://ravistechblog.wordpress.com" rel="nofollow">http://ravistechblog.wordpress.com</a></p>
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	<item>
		<title>By: Chuck Berger</title>
		<link>http://gigaom.com/2012/11/28/amazons-new-data-warehousing-service-takes-aim-at-old-guard-it-giants/#comment-1216275</link>
		<dc:creator><![CDATA[Chuck Berger]]></dc:creator>
		<pubDate>Thu, 29 Nov 2012 01:33:01 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=588883#comment-1216275</guid>
		<description><![CDATA[Barb, there is interesting data in the picture you included.  The Amazon.com legacy system was 16 times the number of nodes and yet the Redshift service provided 10X performance which means there will be added savings because more queries can be run in the same amount of time.  Any one running ParAccel on premise would experience even greater cost/performance benefits, particularly higher performance needed for advanced analytic workloads!  

Chuck]]></description>
		<content:encoded><![CDATA[<p>Barb, there is interesting data in the picture you included.  The Amazon.com legacy system was 16 times the number of nodes and yet the Redshift service provided 10X performance which means there will be added savings because more queries can be run in the same amount of time.  Any one running ParAccel on premise would experience even greater cost/performance benefits, particularly higher performance needed for advanced analytic workloads!  </p>
<p>Chuck</p>
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