<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
		>
<channel>
	<title>Comments on: CitusDB: Today, SQL on Hadoop. Tomorrow, the world!</title>
	<atom:link href="http://gigaom.com/2013/02/19/citusdb-today-sql-on-hadoop-tomorrow-the-world/feed/" rel="self" type="application/rss+xml" />
	<link>http://gigaom.com/2013/02/19/citusdb-today-sql-on-hadoop-tomorrow-the-world/</link>
	<description></description>
	<lastBuildDate>Thu, 23 May 2013 20:44:12 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.com/</generator>
	<item>
		<title>By: David Mytton</title>
		<link>http://gigaom.com/2013/02/19/citusdb-today-sql-on-hadoop-tomorrow-the-world/#comment-1313955</link>
		<dc:creator><![CDATA[David Mytton]]></dc:creator>
		<pubDate>Wed, 20 Feb 2013 14:28:00 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=611709#comment-1313955</guid>
		<description><![CDATA[It&#039;d be interesting to see how it compares to Amazon Redshift as that is supposed to be significantly faster than Hadoop[1]. Aside from speed, a big advantage could be the ability to connect to various data stores so you can truly use the best store for each purpose, aggregating things when you want to perform analysis.

[1] http://www.slideshare.net/Hapyrus/amazon-redshift-is-10x-faster-and-cheaper-than-hadoop-hive]]></description>
		<content:encoded><![CDATA[<p>It&#8217;d be interesting to see how it compares to Amazon Redshift as that is supposed to be significantly faster than Hadoop[1]. Aside from speed, a big advantage could be the ability to connect to various data stores so you can truly use the best store for each purpose, aggregating things when you want to perform analysis.</p>
<p>[1] <a href="http://www.slideshare.net/Hapyrus/amazon-redshift-is-10x-faster-and-cheaper-than-hadoop-hive" rel="nofollow">http://www.slideshare.net/Hapyrus/amazon-redshift-is-10x-faster-and-cheaper-than-hadoop-hive</a></p>
]]></content:encoded>
	</item>
	<item>
		<title>By: iszekisi</title>
		<link>http://gigaom.com/2013/02/19/citusdb-today-sql-on-hadoop-tomorrow-the-world/#comment-1313828</link>
		<dc:creator><![CDATA[iszekisi]]></dc:creator>
		<pubDate>Wed, 20 Feb 2013 08:12:10 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=611709#comment-1313828</guid>
		<description><![CDATA[Reblogged this on &lt;a href=&quot;http://iszekisi.wordpress.com/2013/02/20/8/&quot; rel=&quot;nofollow&quot;&gt;is zekisi&lt;/a&gt; and commented: 
Data dünyasında gelecek konseptler]]></description>
		<content:encoded><![CDATA[<p>Reblogged this on <a href="http://iszekisi.wordpress.com/2013/02/20/8/" rel="nofollow">is zekisi</a> and commented:<br />
Data dünyasında gelecek konseptler</p>
]]></content:encoded>
	</item>
</channel>
</rss>
