<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lakehouse on Pi Stack</title><link>https://www.pistack.xyz/tags/lakehouse/</link><description>Recent content in Lakehouse on Pi Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.pistack.xyz/tags/lakehouse/index.xml" rel="self" type="application/rss+xml"/><item><title>Apache Iceberg vs Apache Hudi vs Delta Lake: Best Open Data Lakehouse Formats 2026</title><link>https://www.pistack.xyz/posts/apache-iceberg-vs-hudi-vs-delta-lake-open-data-lakehouse-formats-2026/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/apache-iceberg-vs-hudi-vs-delta-lake-open-data-lakehouse-formats-2026/</guid><description>&lt;p>The modern data stack has shifted from monolithic data warehouses to &lt;strong>lakehouse architectures&lt;/strong> — systems that combine the scalability and cost-efficiency of data lakes with the ACID transaction guarantees and performance optimizations of traditional databases. At the heart of every lakehouse sits an &lt;strong>open table format&lt;/strong>: a layer that adds structure, metadata, and transaction support to raw files stored in object storage or distributed filesystems.&lt;/p></description></item></channel></rss>