<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	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:slash="http://purl.org/rss/1.0/modules/slash/"
			xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
		>

<channel>
	<title>Gigaom Search &#187; Companies &#187; Altiscale</title>
	<atom:link href="http://search.gigaom.com/company/altiscale/feed/" rel="self" type="application/rss+xml" />
	<link>http://search.gigaom.com</link>
	<description></description>
	<lastBuildDate>Wed, 11 Mar 2015 13:08:37 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=4.1</generator>
	<item>
		<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>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:GS]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<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>
		</item>
		<item>
		<title>For now, Spark looks like the future of big data</title>
		<link>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/</link>
		<comments>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/#comments</comments>
		<pubDate>Fri, 20 Feb 2015 21:05:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Databricks]]></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[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:INTC]]></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:HPQ]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916170</guid>
		<description><![CDATA[Titles can be misleading. For example, the O'Reilly Strata + Hadoop World conference took place in San Jose, California, this week but Hadoop wasn't the star of the show. Based on&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Hadoop: DIY tool or cloud-based service?</title>
		<link>http://research.gigaom.com/webinar/hadoop-diy-tool-or-cloud-based-service/</link>
		<comments>http://research.gigaom.com/webinar/hadoop-diy-tool-or-cloud-based-service/#comments</comments>
		<pubDate>Tue, 16 Dec 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud infrastructure]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=242114</guid>
		<description><![CDATA[Hadoop is critical to most Big Data infrastructures, but taking a do-it-yourself approach to setting up and managing your Hadoop clusters shouldn’t be a requirement.  Using Hadoop as an engine makes&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/hadoop-diy-tool-or-cloud-based-service/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Apache Hive creators raise $13M for their Hadoop service, Qubole</title>
		<link>https://gigaom.com/2014/12/10/apache-hive-creators-raise-13m-for-their-hadoop-service-qubole/</link>
		<comments>https://gigaom.com/2014/12/10/apache-hive-creators-raise-13m-for-their-hadoop-service-qubole/#comments</comments>
		<pubDate>Wed, 10 Dec 2014 21:09:40 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Qubole]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=899652</guid>
		<description><![CDATA[Qubole, the Hadoop-as-a-service startup from Ashish Thusoo and Joydeep Sen Sarma, has raised a $13 million series B round of venture capital led by Norwest Ventures. Thusoo and Sen Sarma created&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/10/apache-hive-creators-raise-13m-for-their-hadoop-service-qubole/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Altiscale raises $30M, now managing petabytes in its Hadoop cloud</title>
		<link>https://gigaom.com/2014/12/09/altiscale-raises-30m-now-managing-petabytes-in-its-hadoop-cloud/</link>
		<comments>https://gigaom.com/2014/12/09/altiscale-raises-30m-now-managing-petabytes-in-its-hadoop-cloud/#comments</comments>
		<pubDate>Tue, 09 Dec 2014 16:29:27 +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=899197</guid>
		<description><![CDATA[Altiscale, the Hadoop-as-a-Service startup started by ex-Yahoo CTO Raymie Stata, has raised a $30 million series B round of venture capital led by Northgate, as well as previous investors Sequoia Capital&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/09/altiscale-raises-30m-now-managing-petabytes-in-its-hadoop-cloud/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Hadoop needs a better front-end for business users</title>
		<link>http://research.gigaom.com/2014/12/hadoop-needs-a-better-front-end-for-business-users/</link>
		<comments>http://research.gigaom.com/2014/12/hadoop-needs-a-better-front-end-for-business-users/#comments</comments>
		<pubDate>Mon, 08 Dec 2014 17:48:43 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Elastic Map Reduce]]></category>
		<category><![CDATA[hadoop as a service]]></category>
		<category><![CDATA[HDInsight]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?p=242419</guid>
		<description><![CDATA[Whether you're running it on premises or in the cloud, Hadoop leaves a lot to be desired in the ease-of-use department. The Hadoop offerings on the three major cloud platforms (Amazon's&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/12/hadoop-needs-a-better-front-end-for-business-users/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Hadoop needs a better front-end for business users</title>
		<link>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/</link>
		<comments>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/#comments</comments>
		<pubDate>Sun, 07 Dec 2014 14:00:30 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[HDInsight]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=898368</guid>
		<description><![CDATA[Whether you're running it on premises or in the cloud, Hadoop leaves a lot to be desired in the ease-of-use department. The Hadoop offerings on the three major cloud platforms (Amazon's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>Market landscape: in-memory database technologies</title>
		<link>http://research.gigaom.com/report/market-landscape-in-memory-database-technologies/</link>
		<comments>http://research.gigaom.com/report/market-landscape-in-memory-database-technologies/#comments</comments>
		<pubDate>Thu, 06 Nov 2014 16:08:58 +0000</pubDate>
		<dc:creator><![CDATA[Lynn Langit]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[column store]]></category>
		<category><![CDATA[in-memory data grid]]></category>
		<category><![CDATA[in-memory database solutions]]></category>
		<category><![CDATA[NewSQL]]></category>
		<category><![CDATA[relational database management systems]]></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:SAP]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=240450/</guid>
		<description><![CDATA[The landscape of data solutions has been significantly disrupted in the last several years, on multiple fronts. Another such disruption is taking place now, with the mainstreaming of in-memory database (IMDB)&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/market-landscape-in-memory-database-technologies/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>Hadoop 2.0 and loosely-coupled systems</title>
		<link>http://research.gigaom.com/2014/09/hadoop-2-0-and-loosely-coupled-systems/</link>
		<comments>http://research.gigaom.com/2014/09/hadoop-2-0-and-loosely-coupled-systems/#comments</comments>
		<pubDate>Wed, 03 Sep 2014 13:00:14 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?p=236200</guid>
		<description><![CDATA[I tend to use this space to report on news and developments in data and analytics during the prior week. But this past week, as with the last week of summer&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/09/hadoop-2-0-and-loosely-coupled-systems/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>