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	<title>Gigaom Search &#187; Companies &#187; Teradata</title>
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		<title>Cloudera CEO declares victory over big data competition</title>
		<link>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/</link>
		<comments>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/#comments</comments>
		<pubDate>Tue, 03 Mar 2015 20:51:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:INTC]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:INTC]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=918411</guid>
		<description><![CDATA[Cloudera CEO Tom Reilly doesn't often mince words when it comes to describing his competition in the Hadoop space, or Cloudera's position among those other companies. In October 2013, Reilly told me&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>Pivotal open sources its Hadoop and Greenplum tech, and then some</title>
		<link>http://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/</link>
		<comments>http://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 16:00:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:EMC]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:GE]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:VMW]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=915177</guid>
		<description><![CDATA[Pivotal, the cloud computing and big data company that spun out from EMC and VMware in 2013, is open sourcing its entire portfolio of big data technologies and is teaming up&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<item>
		<title>Sector Roadmap: Hadoop/Data Warehouse Interoperability</title>
		<link>http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/</link>
		<comments>http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/#comments</comments>
		<pubDate>Thu, 29 Jan 2015 15:59:05 +0000</pubDate>
		<dc:creator><![CDATA[George Gilbert]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data lake]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=244548/</guid>
		<description><![CDATA[With virtually every Hadoop distribution vendor offering SQL-on-Hadoop solutions, the key factor in the market is now the integration between Hadoop and data warehouse technology.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>The promise of big data still looms, but execution lags</title>
		<link>https://gigaom.com/2015/01/23/the-promise-of-big-data-still-looms-but-execution-lags/</link>
		<comments>https://gigaom.com/2015/01/23/the-promise-of-big-data-still-looms-but-execution-lags/#comments</comments>
		<pubDate>Fri, 23 Jan 2015 21:35:25 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analytics]]></category>
		<category><![CDATA[McKinsey & Company]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=909260</guid>
		<description><![CDATA[When something is hyped as much as the notion of big data, there's bound to be disappointment when results don't meet expectations right this second. That realization -- that implementation of big&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/23/the-promise-of-big-data-still-looms-but-execution-lags/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>Teradata dives further into Hadoop with RainStor acquisition</title>
		<link>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/</link>
		<comments>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/#comments</comments>
		<pubDate>Wed, 17 Dec 2014 19:30:36 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[RainStor]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=901165</guid>
		<description><![CDATA[Data warehouse vendor  has made its fourth acquisition of the year, announcing on Wednesday it has bought data-archiving specialist RainStor for an undisclosed amount. RainStor builds an archival system that&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Splice Machine goes GA, and other short stories</title>
		<link>http://research.gigaom.com/2014/11/splice-machine-goes-ga-and-other-short-stories/</link>
		<comments>http://research.gigaom.com/2014/11/splice-machine-goes-ga-and-other-short-stories/#comments</comments>
		<pubDate>Wed, 19 Nov 2014 14:00:37 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Splice Machine]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?p=241601</guid>
		<description><![CDATA[Splice Machine ships v1 of its RDBMS-on-Hadoop. Plus, HP Vertica, MapR and the Apache Drill and CouchDB teams have release news of their own.]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/11/splice-machine-goes-ga-and-other-short-stories/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Why the Hortonworks IPO could be a bellwether for Hadoop</title>
		<link>https://gigaom.com/2014/11/10/why-the-hortonworks-could-be-a-bellwether-for-hadoop/</link>
		<comments>https://gigaom.com/2014/11/10/why-the-hortonworks-could-be-a-bellwether-for-hadoop/#comments</comments>
		<pubDate>Mon, 10 Nov 2014 22:39:23 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Initial public offering]]></category>
		<category><![CDATA[initial public offerings (IPOs)]]></category>
		<category><![CDATA[open source]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=887674</guid>
		<description><![CDATA[Hortonworks' IPO filing on Monday shows that Hadoop is still a resource- and risk-intensive business, but also suggests it's one that public market investors will be willing to back. It might&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/10/why-the-hortonworks-could-be-a-bellwether-for-hadoop/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Marketing and analytics: Disharmony’s not an option</title>
		<link>http://research.gigaom.com/webinar/marketing-and-analytics-disharmonys-not-an-option/</link>
		<comments>http://research.gigaom.com/webinar/marketing-and-analytics-disharmonys-not-an-option/#comments</comments>
		<pubDate>Thu, 06 Nov 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[William McKnight]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Business analytics]]></category>
		<category><![CDATA[Formal sciences]]></category>
		<category><![CDATA[Marketing performance measurement and management]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=240026</guid>
		<description><![CDATA[Adoption of analytics technology amongst marketing professionals is prolific, perhaps more so than with any other part of the business. You might think, then, that all such analytics implementations are relatively&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/marketing-and-analytics-disharmonys-not-an-option/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Cloud computing is going to absorb your big data workloads, too</title>
		<link>https://gigaom.com/2014/10/15/cloud-computing-is-going-to-absorb-your-big-data-workloads-too/</link>
		<comments>https://gigaom.com/2014/10/15/cloud-computing-is-going-to-absorb-your-big-data-workloads-too/#comments</comments>
		<pubDate>Wed, 15 Oct 2014 23:22:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:CRM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:RAX]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=881183</guid>
		<description><![CDATA[There has been a spate of product announcements and integrations over the past few weeks signaling that many big data workloads -- including, and especially, Hadoop -- will soon be ready&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/15/cloud-computing-is-going-to-absorb-your-big-data-workloads-too/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Teradata doubles down on Hadoop again, this time in the cloud and with Cloudera</title>
		<link>https://gigaom.com/2014/10/09/teradata-doubles-down-on-hadoop-again-this-time-in-the-cloud-and-with-cloudera/</link>
		<comments>https://gigaom.com/2014/10/09/teradata-doubles-down-on-hadoop-again-this-time-in-the-cloud-and-with-cloudera/#comments</comments>
		<pubDate>Thu, 09 Oct 2014 18:37:53 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=879662</guid>
		<description><![CDATA[Teradata and Cloudera have signed a deal that includes some technology integrations as well as joint sales and marketing efforts. Teradata is also launching its own Hadoop cloud service, which will&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/09/teradata-doubles-down-on-hadoop-again-this-time-in-the-cloud-and-with-cloudera/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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