<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Apache Arrow</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Apache Arrow feed</description>
    <item>
      <title>Article: Engineering a Time Series Database Using Open Source: Rebuilding InfluxDB 3 in Apache Arrow and Rust</title>
      <link>https://www.infoq.com/articles/timeseries-db-rust/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Apache+Arrow</link>
      <description>&lt;img src="https://res.infoq.com/articles/timeseries-db-rust/en/headerimage/time-series-database-using-open-source-rebuilding-InfluxDB-in-apache-arrow-rust-header-1757058446201.jpg"/&gt;&lt;p&gt;At times, to evolve your product, you need to rebuild it from scratch. The article provides the story behind the rewrite of InfluxDB from scratch using a different programming language - Rust - and stack -  Apache Flight, Data Fusion, Apache Arrow and Parquet (FDAP). It emphasises the benefits, as well as the mechanics behind its operation and the different versions of the product.&lt;/p&gt; &lt;i&gt;By Paul Dix&lt;/i&gt;</description>
      <category>Systems Thinking</category>
      <category>Rust</category>
      <category>Database</category>
      <category>Data</category>
      <category>Architecture</category>
      <category>Apache Arrow</category>
      <category>Apache Flight</category>
      <category>Apache Data Fusion</category>
      <category>Apache Parquet</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 10 Sep 2025 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/timeseries-db-rust/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Apache+Arrow</guid>
      <dc:creator>Paul Dix</dc:creator>
      <dc:date>2025-09-10T09:00:00Z</dc:date>
      <dc:identifier>/articles/timeseries-db-rust/en</dc:identifier>
    </item>
  </channel>
</rss>
