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	<title>Comments on: Herding Code 159: Catching up with Oren Eini on RavenDB</title>
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		<title>By: Roman</title>
		<link>http://herdingcode.com/herding-code-159-catching-up-with-oren-eini-on-ravendb/comment-page-1/#comment-114475</link>
		<dc:creator>Roman</dc:creator>
		<pubDate>Thu, 07 Mar 2013 18:59:00 +0000</pubDate>
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		<description><![CDATA[Very interesting topic. I&#039;m from RDB-crowd. For a long time as DBA I was working with OLTP/OLAP environments using MS Sql, Oracle, MySQL systems. Recently I tried to use nosql to create proof of concept for one of my projects which faces typical database issues - combining OLTP with OLAP (at least basics of it). 
Tested MongoDB and RavenDB. Since I&#039;m using .NET stack RavenDB seemed ideal to me. Speed of inserts is fantastic. But hey. It&#039;s no surprise if you understand you&#039;re just writing into flat file. Unfortunately immediately after that came disappointment. Idea of index running on background is fine while index is capable of doing what I need. It&#039;s not the case here. If you need at least some basic analytics (group by, count(), sum()) either forget about nosql solution or be prepared to develop extra layer/ETL for pushing data into some other DB-warehouse engine. So far I was not able to find one working example proving I&#039;m wrong. And I would be glad to to be wrong. Because the major characteristics of nosql - scalability and super fast data inserts are very sweet baits for me.]]></description>
		<content:encoded><![CDATA[<p>Very interesting topic. I&#8217;m from RDB-crowd. For a long time as DBA I was working with OLTP/OLAP environments using MS Sql, Oracle, MySQL systems. Recently I tried to use nosql to create proof of concept for one of my projects which faces typical database issues &#8211; combining OLTP with OLAP (at least basics of it).<br />
Tested MongoDB and RavenDB. Since I&#8217;m using .NET stack RavenDB seemed ideal to me. Speed of inserts is fantastic. But hey. It&#8217;s no surprise if you understand you&#8217;re just writing into flat file. Unfortunately immediately after that came disappointment. Idea of index running on background is fine while index is capable of doing what I need. It&#8217;s not the case here. If you need at least some basic analytics (group by, count(), sum()) either forget about nosql solution or be prepared to develop extra layer/ETL for pushing data into some other DB-warehouse engine. So far I was not able to find one working example proving I&#8217;m wrong. And I would be glad to to be wrong. Because the major characteristics of nosql &#8211; scalability and super fast data inserts are very sweet baits for me.</p>
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