<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Versioning on Pi Stack</title><link>https://www.pistack.xyz/tags/data-versioning/</link><description>Recent content in Data-Versioning on Pi Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 14 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.pistack.xyz/tags/data-versioning/index.xml" rel="self" type="application/rss+xml"/><item><title>DVC vs LakeFS vs Pachyderm: Best Self-Hosted Data Versioning 2026</title><link>https://www.pistack.xyz/posts/dvc-lakefs-pachyderm-self-hosted-data-versioning-guide-2026/</link><pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/dvc-lakefs-pachyderm-self-hosted-data-versioning-guide-2026/</guid><description>&lt;p>Managing data in modern projects — whether for machine learning pipelines, analytics, or ETL workflows — is notoriously difficult. Code has Git. Data has a completely different set of challenges: large files, binary formats, slow transfers, and the need to reproduce exact dataset states months later. That is where data versioning tools come in.&lt;/p></description></item></channel></rss>