<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>架构设计 on 星核技术社</title><link>https://hyuzz-nuc.github.io/tags/%E6%9E%B6%E6%9E%84%E8%AE%BE%E8%AE%A1/</link><description>Recent content in 架构设计 on 星核技术社</description><image><title>星核技术社</title><url>https://hyuzz-nuc.github.io/images/favicon.png</url><link>https://hyuzz-nuc.github.io/images/favicon.png</link></image><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 19 Feb 2026 17:00:00 +0800</lastBuildDate><atom:link href="https://hyuzz-nuc.github.io/tags/%E6%9E%B6%E6%9E%84%E8%AE%BE%E8%AE%A1/index.xml" rel="self" type="application/rss+xml"/><item><title>数据库选型指南：MySQL/PG/Doris/DuckDB/TiDB/ClickHouse/FlinkCDC 全方位对比</title><link>https://hyuzz-nuc.github.io/posts/database-selection-guide/</link><pubDate>Thu, 19 Feb 2026 17:00:00 +0800</pubDate><guid>https://hyuzz-nuc.github.io/posts/database-selection-guide/</guid><description>7 款主流数据库/数据引擎深度对比，从资源占用到适用场景，一文帮你选对技术栈</description></item></channel></rss>