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	<title>Gigaom Search &#187; Companies &#187; MemSQL</title>
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		<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>
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		<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>
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		<slash:comments>5</slash:comments>
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		<title>Pinterest is experimenting with MemSQL for real-time data analytics</title>
		<link>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/</link>
		<comments>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 19:00:27 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hadoop]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Storm]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=915570</guid>
		<description><![CDATA[Pinterest shed more light on how the social scrapbook and visual discovery service analyzes data in real time, it said in a blog post on Wednesday, also revealing details about how&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>MemSQL open sources tool that helps move data into your database</title>
		<link>https://gigaom.com/2014/12/30/memsql-open-sources-tool-that-helps-move-data-into-your-database/</link>
		<comments>https://gigaom.com/2014/12/30/memsql-open-sources-tool-that-helps-move-data-into-your-database/#comments</comments>
		<pubDate>Tue, 30 Dec 2014 23:08:54 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data management]]></category>
		<category><![CDATA[Distributed file system]]></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=903322</guid>
		<description><![CDATA[Database startup MemSQL said today that it open sourced a new data transfer tool called MemSQL Loader that helps users haul over vast quantities of data from sources like Amazon S3&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/30/memsql-open-sources-tool-that-helps-move-data-into-your-database/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<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>
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		<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>
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		<slash:comments>0</slash:comments>
		</item>
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		<title>Big data and analytics second-quarter 2014: analysis and outlook</title>
		<link>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/</link>
		<comments>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/#comments</comments>
		<pubDate>Wed, 16 Jul 2014 12:00:16 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Google Dataflow]]></category>
		<category><![CDATA[MonetDB]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Spotfire]]></category>
		<category><![CDATA[YARN]]></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:INTC]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></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:SAP]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=233035/</guid>
		<description><![CDATA[In the second quarter of 2014, new de facto standards emerged and galvanized, major cloud providers launched new analytics offerings, and mainstream databases began to take on attributes and capabilities of&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
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		<title>Oracle announces software to speed up its databases</title>
		<link>https://gigaom.com/2014/06/10/oracle-announces-software-to-speed-up-its-databases/</link>
		<comments>https://gigaom.com/2014/06/10/oracle-announces-software-to-speed-up-its-databases/#comments</comments>
		<pubDate>Tue, 10 Jun 2014 20:30:23 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[relational database-backed transactional applications]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:SAP]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=848740</guid>
		<description><![CDATA[Oracle's In Memory Option for its databases will supposedly improve performance in real-time analytics and transaction workloads.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/10/oracle-announces-software-to-speed-up-its-databases/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Solving big data challenges with in-memory technology</title>
		<link>http://research.gigaom.com/webinar/solving-big-data-challenges-with-in-memory-technology/</link>
		<comments>http://research.gigaom.com/webinar/solving-big-data-challenges-with-in-memory-technology/#comments</comments>
		<pubDate>Tue, 11 Mar 2014 17:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew J. Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=219576</guid>
		<description><![CDATA[There is an incredible amount of buzz in the industry right now about in-memory databases, but understanding the correct use cases for these solutions is less clear. Knowing where to use&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/solving-big-data-challenges-with-in-memory-technology/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MemSQL rakes in the dough, IBM doesn&#8217;t, and the future of MOOCs</title>
		<link>https://gigaom.com/2014/01/23/memsql-rakes-in-the-dough-ibm-doesnt-and-the-future-of-moocs/</link>
		<comments>https://gigaom.com/2014/01/23/memsql-rakes-in-the-dough-ibm-doesnt-and-the-future-of-moocs/#comments</comments>
		<pubDate>Thu, 23 Jan 2014 08:35:59 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AirWatch]]></category>
		<category><![CDATA[Gigaom podcasts]]></category>
		<category><![CDATA[MemSQL]]></category>
		<category><![CDATA[Sebastian Thrun]]></category>
		<category><![CDATA[Structure Show]]></category>
		<category><![CDATA[The Structure Show]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:VMW]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=804652</guid>
		<description><![CDATA[On this week's Structure Show: MemSQL's ability to rake in the dough and IBM's continuing hardware heartache.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/23/memsql-rakes-in-the-dough-ibm-doesnt-and-the-future-of-moocs/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<item>
		<title>MemSQL makes it easier to import historical data and query it all under one roof</title>
		<link>https://gigaom.com/2013/06/19/memsql-makes-it-easier-to-import-historical-data-and-query-it-all-under-one-roof/</link>
		<comments>https://gigaom.com/2013/06/19/memsql-makes-it-easier-to-import-historical-data-and-query-it-all-under-one-roof/#comments</comments>
		<pubDate>Wed, 19 Jun 2013 16:00:08 +0000</pubDate>
		<dc:creator><![CDATA[Jordan Novet]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[MemSQL]]></category>
		<category><![CDATA[Structure]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=658842</guid>
		<description><![CDATA[In its quest to build a database lots of people can use to analyze real-time and historical data, MemSQL is adding the ability to import with .CSV files in version 2.1,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/06/19/memsql-makes-it-easier-to-import-historical-data-and-query-it-all-under-one-roof/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Database startup MemSQL adds scale to speed with distributed version</title>
		<link>https://gigaom.com/2013/04/23/database-startup-memsql-adds-scale-to-speed-with-distributed-version/</link>
		<comments>https://gigaom.com/2013/04/23/database-startup-memsql-adds-scale-to-speed-with-distributed-version/#comments</comments>
		<pubDate>Tue, 23 Apr 2013 13:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Jordan Novet]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[MemSQL]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=633356</guid>
		<description><![CDATA[To help companies analyze more data quickly while keeping it all in memory, MemSQL is releasing a distributed version of its in-memory database.]]></description>
		<wfw:commentRss>https://gigaom.com/2013/04/23/database-startup-memsql-adds-scale-to-speed-with-distributed-version/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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