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	<title>Gigaom Search &#187; analytic database</title>
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		<title>IBM builds up its cloud with Netezza as a service and NoSQL as software</title>
		<link>https://gigaom.com/2014/10/27/ibm-builds-up-its-cloud-with-netezza-as-a-service-and-nosql-as-software/</link>
		<comments>https://gigaom.com/2014/10/27/ibm-builds-up-its-cloud-with-netezza-as-a-service-and-nosql-as-software/#comments</comments>
		<pubDate>Mon, 27 Oct 2014 23:57:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[BlueMix]]></category>
		<category><![CDATA[Cloudant]]></category>
		<category><![CDATA[web scale]]></category>
		<category><![CDATA[webscale infrastructure]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=883954</guid>
		<description><![CDATA[IBM announced a new, promising collection of cloud data services on Monday, adding to an already-impressive collections services on its Bluemix platform. At this point, though, IBM's biggest challenge isn't selling&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/27/ibm-builds-up-its-cloud-with-netezza-as-a-service-and-nosql-as-software/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>eBay open sources a big, fast SQL-on-Hadoop database</title>
		<link>https://gigaom.com/2014/10/22/ebay-open-sources-a-big-fast-sql-on-hadoop-database/</link>
		<comments>https://gigaom.com/2014/10/22/ebay-open-sources-a-big-fast-sql-on-hadoop-database/#comments</comments>
		<pubDate>Wed, 22 Oct 2014 20:27:42 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[Kylin]]></category>
		<category><![CDATA[open source]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:EBAY]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=882989</guid>
		<description><![CDATA[eBay has open sourced a database technology, called Kylin, that takes advantage of distributed processing and the HBase data store in order to return faster results for SQL queries over Hadoop&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/22/ebay-open-sources-a-big-fast-sql-on-hadoop-database/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Database vendor open sources Postgres-XL for scale-out workloads</title>
		<link>https://gigaom.com/2014/05/13/database-vendor-open-sources-postgres-xl-for-scale-out-workloads/</link>
		<comments>https://gigaom.com/2014/05/13/database-vendor-open-sources-postgres-xl-for-scale-out-workloads/#comments</comments>
		<pubDate>Tue, 13 May 2014 15:49:56 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[postgres]]></category>
		<category><![CDATA[Postgres-XL]]></category>
		<category><![CDATA[PostgreSQL]]></category>
		<category><![CDATA[Translattice]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=841272</guid>
		<description><![CDATA[A new open-source project called Postgres-XL is pushing scale-out and MPP capabilities for the popular database. Postgres-XL is the product of a database vendor called TransLattice and is based on technology&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/05/13/database-vendor-open-sources-postgres-xl-for-scale-out-workloads/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
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		<title>MapR now supports YARN, puts HP Vertica on top of Hadoop</title>
		<link>https://gigaom.com/2014/02/11/mapr-now-supports-yarn-puts-hp-vertica-on-top-of-hadoop/</link>
		<comments>https://gigaom.com/2014/02/11/mapr-now-supports-yarn-puts-hp-vertica-on-top-of-hadoop/#comments</comments>
		<pubDate>Tue, 11 Feb 2014 16:29:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Vertica]]></category>
		<category><![CDATA[YARN]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=815775</guid>
		<description><![CDATA[MapR is continuing along its path to Hadoop glory with new support for the YARN resource manager and a direct integration with the HP Vertica analytic database. In such a competitive&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/11/mapr-now-supports-yarn-puts-hp-vertica-on-top-of-hadoop/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
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		<title>MemSQL throws a curve, adds column store on flash</title>
		<link>https://gigaom.com/2014/02/06/memsql-throws-a-curve-adds-column-store-on-flash/</link>
		<comments>https://gigaom.com/2014/02/06/memsql-throws-a-curve-adds-column-store-on-flash/#comments</comments>
		<pubDate>Thu, 06 Feb 2014 15:04:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[MemSQL]]></category>
		<category><![CDATA[oltp]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=814472</guid>
		<description><![CDATA[MemSQL, the database startup from two former Facebook engineers, has already raised a lot of money and roped in some big customers. Now it's looking to broaden its footprint with a&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/06/memsql-throws-a-curve-adds-column-store-on-flash/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Fast-growing database startup MemSQL raises $35M</title>
		<link>https://gigaom.com/2014/01/22/fast-growing-database-startup-memsql-raises-35m/</link>
		<comments>https://gigaom.com/2014/01/22/fast-growing-database-startup-memsql-raises-35m/#comments</comments>
		<pubDate>Wed, 22 Jan 2014 11:00:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[MemSQL]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=804374</guid>
		<description><![CDATA[Database startup MemSQL has been on fire since it launched in mid-2012, and now it has a lot more money to keep up that momentum. The company has closed an oversubscribed&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/22/fast-growing-database-startup-memsql-raises-35m/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Cloudera says Impala is faster than Hive, which isn&#8217;t saying much</title>
		<link>https://gigaom.com/2014/01/13/cloudera-says-impala-is-faster-than-hive-which-isnt-saying-much/</link>
		<comments>https://gigaom.com/2014/01/13/cloudera-says-impala-is-faster-than-hive-which-isnt-saying-much/#comments</comments>
		<pubDate>Mon, 13 Jan 2014 19:37:42 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[real-time queries]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=791380</guid>
		<description><![CDATA[Cloudera is touting the speed of its Impala query engine compared to Hive and a leading relational database system, but those aren't really apples-to-apples comparisons. The real question is how all&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/13/cloudera-says-impala-is-faster-than-hive-which-isnt-saying-much/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>HP sets a new (and less-expensive) version of Vertica loose on unstructured data</title>
		<link>https://gigaom.com/2013/11/19/hp-sets-a-new-and-less-expensive-version-of-vertica-loose-on-unstructured-data/</link>
		<comments>https://gigaom.com/2013/11/19/hp-sets-a-new-and-less-expensive-version-of-vertica-loose-on-unstructured-data/#comments</comments>
		<pubDate>Tue, 19 Nov 2013 12:49:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[unstructured data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:HPQ]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=717131</guid>
		<description><![CDATA[HP released a new version of its Vertica database than easily connects with other systems to bring in unstructured data. It's a big update for a database based on analytic SQL&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/11/19/hp-sets-a-new-and-less-expensive-version-of-vertica-loose-on-unstructured-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Facebook open sources its SQL-on-Hadoop engine, and the web rejoices</title>
		<link>https://gigaom.com/2013/11/06/facebook-open-sources-its-sql-on-hadoop-engine-and-the-web-rejoices/</link>
		<comments>https://gigaom.com/2013/11/06/facebook-open-sources-its-sql-on-hadoop-engine-and-the-web-rejoices/#comments</comments>
		<pubDate>Wed, 06 Nov 2013 18:00:11 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic database]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=713248</guid>
		<description><![CDATA[Facebook has open sourced Presto, a SQL engine it says is on average 10 times faster than Hive for running queries across large data sets stored in Hadoop and elsewhere.]]></description>
		<wfw:commentRss>https://gigaom.com/2013/11/06/facebook-open-sources-its-sql-on-hadoop-engine-and-the-web-rejoices/feed/</wfw:commentRss>
		<slash:comments>12</slash:comments>
		</item>
		<item>
		<title>Actian buys Amazon database partner ParAccel</title>
		<link>https://gigaom.com/2013/04/25/actian-buys-amazon-web-services-database-partner-paraccel/</link>
		<comments>https://gigaom.com/2013/04/25/actian-buys-amazon-web-services-database-partner-paraccel/#comments</comments>
		<pubDate>Thu, 25 Apr 2013 13:00:33 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Actian]]></category>
		<category><![CDATA[analytic database]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=634262</guid>
		<description><![CDATA[Analytic database vendor ParAccel has been acquired by a relatively quiet database company called Actian. ParAccel targets big data with its scale-out architecture, and it counts Amazon as both an investor&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/04/25/actian-buys-amazon-web-services-database-partner-paraccel/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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