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        <title>pg_mooncake 🤝 drizzle: typed SDKs for your analytic workloads</title>
        <link>https://mooncake.pgsty.com/blog/post/pgmooncake-drizzle/</link>
        <pubDate>Wed, 08 Jan 2025 00:00:00 +0000</pubDate>
        
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        <description>&lt;p&gt;A thing that surprised us in the &lt;a href=&#34;https://mooncake.pgsty.com/docs/intro/&#34;&gt;&lt;code&gt;pg_mooncake&lt;/code&gt;&lt;/a&gt; &lt;a href=&#34;https://mooncake.pgsty.com/blog/post/how-we-built-pgmooncake/&#34;&gt;launch&lt;/a&gt; was how much developers cared about ORMs for their analytical workloads. We saw two typical requests:&lt;/p&gt;&#xA;&lt;ol&gt;&#xA;&lt;li&gt;&lt;em&gt;&amp;ldquo;I have a bunch of Parquet files. I want full ORM support over them.&amp;rdquo;&lt;/em&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;em&gt;&amp;ldquo;I use Drizzle/Prisma for my transactional database. I also want to use it for my analytics and dashboards.&amp;rdquo;&lt;/em&gt;&lt;/li&gt;&#xA;&lt;/ol&gt;&#xA;&lt;img class=&#34;td-image&#34; src=&#34;https://mooncake.pgsty.com/images/blog/blog6-slack.jpg&#34; alt=&#34;slack&#34; loading=&#34;lazy&#34; decoding=&#34;async&#34;&gt;&lt;p&gt;We&amp;rsquo;ve always believed that columnar storage in Postgres must look and feel like a regular heap table. It&amp;rsquo;s where we innovated with &lt;code&gt;pg_mooncake&lt;/code&gt; columnstore tables; you can run transactions, updates, deletes, and joins with heap tables.&lt;/p&gt;</description>
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