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        <title>How to improve DuckDB performance on Parquet</title>
        <link>https://mooncake.pgsty.com/blog/post/duckdb-parquet/</link>
        <pubDate>Wed, 22 Jan 2025 00:00:00 +0000</pubDate>
        
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        <description>&lt;p&gt;Last week, we ran ClickBench on Postgres and ranked in the &lt;a href=&#34;https://mooncake.pgsty.com/blog/post/clickbench-v0.1/&#34;&gt;top 10&lt;/a&gt;. We showed that Postgres can be extended with &lt;a href=&#34;https://mooncake.pgsty.com/docs/intro/&#34;&gt;&lt;code&gt;pg_mooncake&lt;/code&gt;&lt;/a&gt; to support serious analytics workloads.&lt;/p&gt;&#xA;&lt;p&gt;In the announcement, we got a lot of questions on how &lt;code&gt;pg_mooncake&lt;/code&gt; outperforms DuckDB on Parquet files even though internally, it embeds DuckDB in Postgres and stores data in Parquet format.&lt;/p&gt;&#xA;&lt;blockquote&gt;&#xA;&lt;p&gt;See also the discussion on &lt;a href=&#34;https://x.com/mooncake_dev/status/1881844188905709880&#34;&gt;X / Twitter&lt;/a&gt;.&lt;/p&gt;&#xA;&lt;/blockquote&gt;&#xA;&lt;p&gt;The best part: &lt;code&gt;pg_mooncake&lt;/code&gt; does not modify DuckDB at all&amp;hellip;&lt;/p&gt;</description>
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