<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Big-Data on Pi Stack</title><link>https://www.pistack.xyz/tags/big-data/</link><description>Recent content in Big-Data on Pi Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.pistack.xyz/tags/big-data/index.xml" rel="self" type="application/rss+xml"/><item><title>Trino vs Presto vs StarRocks: Best Distributed SQL Query Engine 2026</title><link>https://www.pistack.xyz/posts/2026-04-19-trino-vs-presto-vs-starrocks-distributed-sql-query-engines-guide-2026/</link><pubDate>Sun, 19 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-19-trino-vs-presto-vs-starrocks-distributed-sql-query-engines-guide-2026/</guid><description>&lt;h2 id="why-self-host-a-distributed-sql-query-engine">Why Self-Host a Distributed SQL Query Engine?&lt;/h2>
&lt;p>Modern data teams run analytics across diverse storage systems — S3 buckets, Parquet files on HDFS, MySQL replicas, Elasticsearch clusters, and Kafka streams. Moving all this data into a single warehouse is expensive, slow, and creates stale copies. Distributed SQL query engines solve this by querying data where it lives, using standard SQL, without ETL pipelines or data duplication.&lt;/p></description></item></channel></rss>