<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>Simon Willison's Weblog: matt-brubeck</title><link href="http://simonwillison.net/" rel="alternate"/><link href="http://simonwillison.net/tags/matt-brubeck.atom" rel="self"/><id>http://simonwillison.net/</id><updated>2009-10-04T09:50:33+00:00</updated><author><name>Simon Willison</name></author><entry><title>Quoting Matt Brubeck</title><link href="https://simonwillison.net/2009/Oct/4/sql/#atom-tag" rel="alternate"/><published>2009-10-04T09:50:33+00:00</published><updated>2009-10-04T09:50:33+00:00</updated><id>https://simonwillison.net/2009/Oct/4/sql/#atom-tag</id><summary type="html">
    &lt;blockquote cite="http://news.ycombinator.com/item?id=859617"&gt;&lt;p&gt;When I worked at Amazon.com we had a deeply-ingrained hatred for all of the SQL databases in our systems. Now, we knew perfectly well how to scale them through partitioning and other means. But making them highly available was another matter. Replication and failover give you basic reliability, but it's very limited and inflexible compared to a real distributed datastore with master-master replication, partition tolerance, consensus and/or eventual consistency, or other availability-oriented features.&lt;/p&gt;&lt;/blockquote&gt;
&lt;p class="cite"&gt;&amp;mdash; &lt;a href="http://news.ycombinator.com/item?id=859617"&gt;Matt Brubeck&lt;/a&gt;&lt;/p&gt;

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</summary><category term="amazon"/><category term="matt-brubeck"/><category term="nosql"/><category term="reliability"/><category term="replication"/><category term="scaling"/><category term="sql"/></entry></feed>