<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Commentary on Yongjie Xue</title><link>https://www.yongjiexue.io/en/tags/commentary/</link><description>Recent content in Commentary on Yongjie Xue</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 28 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.yongjiexue.io/en/tags/commentary/index.xml" rel="self" type="application/rss+xml"/><item><title>Catalog Bullshit: Take the Database Apart, Then Rent a PostgreSQL Table Back to You</title><link>https://www.yongjiexue.io/en/db/catalog-bullshit/</link><pubDate>Fri, 28 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/catalog-bullshit/</guid><description>Snowflake blames the lakehouse&amp;rsquo;s governance gaps on multiple engines and turns the Catalog into a new billing layer. But the core of an Iceberg Catalog is just a metadata-pointer CAS; the real governance gap comes from separating the control plane from the data path.</description></item><item><title>How a Word Dies</title><link>https://www.yongjiexue.io/en/db/the-you-know-who/</link><pubDate>Mon, 03 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/the-you-know-who/</guid><description>How did “far, far ahead,” “homegrown,” “innovation,” “domestic,” and “open source” become their own antonyms in China&amp;rsquo;s tech industry? This essay traces a systemic inflation of language and credibility—and the bill it has left for engineering, open source, and the industry&amp;rsquo;s ability to correct itself.</description></item><item><title>MySQL 9.7: Same Old Leftovers, Reheated</title><link>https://www.yongjiexue.io/en/db/mysql-97-bye/</link><pubDate>Tue, 21 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/mysql-97-bye/</guid><description>MySQL 9.7 is the first LTS release in the 9.x line. Its vector support is still all show, its years-late optimizer is disabled by default, and three years of Innovation Releases have produced remarkably little.</description></item><item><title>After the Debate, Let's Talk Seriously About 'Ontology'</title><link>https://www.yongjiexue.io/en/db/ontology-again/</link><pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/ontology-again/</guid><description>Palantir&amp;rsquo;s Ontology is, technically, data modeling. The more interesting question is how a philosophy term got repurposed to market system integration and data modeling, and why that story is so likely to turn into another round of concept inflation in China&amp;rsquo;s tech ecosystem.</description></item><item><title>AI Was the Excuse for 4,000 Layoffs. Software Engineer Hiring Rose 11%</title><link>https://www.yongjiexue.io/en/ai/ai-sack/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/ai-sack/</guid><description>AI is becoming the story companies tell when they lay people off, but total demand for software engineering has not disappeared. It is spreading across the wider economy, driven by second-order demand unleashed as barriers fall.</description></item><item><title>Palantir's Ontology Narrative</title><link>https://www.yongjiexue.io/en/db/ontology-bullshit/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/ontology-bullshit/</guid><description>Ontology is largely a data-modeling method. In enterprise practice, much of it overlaps with familiar database concepts, while the framing can make it feel newer and more differentiated than it really is.</description></item><item><title>AI Ripped the Skin Off Software</title><link>https://www.yongjiexue.io/en/ai/saas-burn-pg-rise/</link><pubDate>Thu, 05 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/saas-burn-pg-rise/</guid><description>Software stocks are melting down. Who survives? Who rises? AI stripped away software&amp;rsquo;s skin, exposing the database skeleton underneath. The market isn&amp;rsquo;t panic-selling — it&amp;rsquo;s repricing.</description></item><item><title>New Programmers in the AI Era: Where Do You Go?</title><link>https://www.yongjiexue.io/en/ai/ai-survival/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/ai-survival/</guid><description>Should we still hire fresh grads? Squeezed between AI and senior devs, what&amp;rsquo;s the play for new programmers? Master the right tools, take initiative, find the right mentor.</description></item><item><title>MySQL and Baijiu: The Internet’s Obedience Test</title><link>https://www.yongjiexue.io/en/db/mysql-baijiu/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/mysql-baijiu/</guid><description>MySQL is to the internet what baijiu is to China: harsh, hard to swallow, yet worshipped because culture demands obedience. Both are loyalty tests—will you endure discomfort to fit in?</description></item><item><title>Column: Database Guru</title><link>https://www.yongjiexue.io/en/db/guru/</link><pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/guru/</guid><description>The database world is full of hype and marketing fog. This column cuts through it with blunt commentary, case studies, and technical deep dives.</description></item><item><title>Dongchedi Just Exposed “Smart Driving.” Where’s Our Dongku-Di?</title><link>https://www.yongjiexue.io/en/db/car-autopilot-test/</link><pubDate>Sat, 26 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/car-autopilot-test/</guid><description>Imagine a “closed-course” shootout for domestic databases and clouds, the way Dongchedi just humiliated 30+ autonomous cars. This industry needs its own stress test.</description></item><item><title>Dify Gets Humiliated Again: It Can't Catch a Break</title><link>https://www.yongjiexue.io/en/ai/dify-humiliated/</link><pubDate>Thu, 27 Mar 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/dify-humiliated/</guid><description>Livzon Pharmaceutical&amp;rsquo;s logo-swapping PR landed out of nowhere. As if being ripped off by DeepSeek appliance vendors were not enough, someone marched into Dify&amp;rsquo;s own repository to rub it in. Dify just can&amp;rsquo;t catch a break.</description></item><item><title>Open-Source "Tyrant" Linus's Purge</title><link>https://www.yongjiexue.io/en/db/linus-ban-ru/</link><pubDate>Fri, 25 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/linus-ban-ru/</guid><description>The Linux community is essentially imperial — and Linus himself is the earliest and most successful technical dictator. People are used to Linus&amp;rsquo;s generosity but forget this point.</description></item><item><title>MongoDB: Now Powered by PostgreSQL?</title><link>https://www.yongjiexue.io/en/db/mongo-powered-by-pg/</link><pubDate>Tue, 03 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/mongo-powered-by-pg/</guid><description>MongoDB 3.2&amp;rsquo;s analytics subsystem turned out to be an embedded PostgreSQL database? A whistleblowing story from MongoDB&amp;rsquo;s partner about betrayal and disillusionment.</description></item><item><title>Can Chinese Domestic Databases Really Compete?</title><link>https://www.yongjiexue.io/en/db/db-china/</link><pubDate>Thu, 25 Apr 2024 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/db-china/</guid><description>Friends often ask me, can Chinese domestic databases really compete? To be honest, it&amp;rsquo;s a question that offends people. So let&amp;rsquo;s try speaking with data - I hope the charts provided in this article can help readers understand the database ecosystem landscape and establish more accurate proportional awareness.</description></item><item><title>Are Specialized Vector Databases Dead?</title><link>https://www.yongjiexue.io/en/db/svdb-is-dead/</link><pubDate>Tue, 21 Nov 2023 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/svdb-is-dead/</guid><description>Vector storage and retrieval is a real need, but specialized vector databases are already dead. Small needs are solved by OpenAI directly, standard needs are captured by existing mature databases with vector extensions. The ecological niche left for specialized vector databases might support one company, but trying to build an industry around AI stories is impossible.</description></item><item><title>Are Databases Really Being Strangled?</title><link>https://www.yongjiexue.io/en/db/db-choke/</link><pubDate>Thu, 02 Nov 2023 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/db-choke/</guid><description>Many &amp;ldquo;domestic databases&amp;rdquo; are just shoddy, inferior products that can&amp;rsquo;t be helped. Xinchuang domestic OS/databases are essentially IT pre-made meals in schools. Users hold their noses while migrating, developers pretend to work hard, and everyone plays along with leaders who neither understand nor care about technology. The infrastructure software industry isn&amp;rsquo;t being strangled by anyone - the real chokehold comes from the so-called &amp;ldquo;insiders.&amp;rdquo;</description></item><item><title>Back to Basics: Tech Reflection Chronicles</title><link>https://www.yongjiexue.io/en/db/rethink/</link><pubDate>Mon, 29 May 2023 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/rethink/</guid><description>The cost-cutting imperative has triggered a reevaluation of all technologies, including databases. This series critiques hot DB technologies and poses fundamental questions about their trade-offs: Are cloud databases, distributed databases, microservices, and containerization real needs or false hype?</description></item><item><title>NewSQL: Distributive Nonsens</title><link>https://www.yongjiexue.io/en/db/distributive-bullshit/</link><pubDate>Sun, 07 May 2023 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/distributive-bullshit/</guid><description>As hardware technology advances, the capacity and performance of standalone databases have reached unprecedented heights. which makes distributed (TP) databases appear utterly powerless, much like the &amp;ldquo;data middle platform,&amp;rdquo; donning the emperor&amp;rsquo;s new clothes in a state of self-deception.</description></item></channel></rss>