PostgreSQL 万能数据库实践指南
推荐指数 49.0 NO. 013 · 2026.08.20
发布2026/08/19Score190Comments133
为什么值得看
作者基于20年使用经验，论证 PostgreSQL 可替代 Redis、Elasticsearch、消息队列等多种中间件。对 AI 工程师而言，这意味着减少技术栈复杂度，降低运维成本和数据一致性风险。
编辑判断
AI 创业团队常陷入技术栈膨胀的陷阱：向量用 Pinecone、缓存用 Redis、搜索用 Elasticsearch、消息用 Kafka，每个组件都需要独立运维和监控。这篇文章的激进主张是全部压回 PostgreSQL——pgvector 处理向量检索、LISTEN/NOTIFY 替代消息队列、GIN/GiST 索引做全文搜索。
代价是明显的：单一节点性能天花板、故障隔离变困难、团队需要深度掌握 PostgreSQL 调优而非调用托管服务。但对于 5 人以下的小团队，这个 trade-off 往往值得。如果你正在用 Supabase 或自建 PG，可以评估哪些中间件能砍掉；如果已经在用专用向量数据库且数据量过 TB，别动。
社区反馈
意见分歧 129 条评论
核心争论：PG能否真正替代多种中间件，还是SQLite更简单够用
相关内容
"MySQL was also potentially faster as it did not implement all features of the SQL standard. " This is a not great start. I assume it refers to MyISAM which has not been relevant for over a decade at this point. InnoDB made different design than PG decisions and was (and perhaps still is) faster at
Well, the poster explicitly talks about 2003 here: „ In 2003, MySQL was much more widely used than PostgreSQL. MySQL was also potentially faster as it did not implement all features of the SQL standard“
At the time, MySQL was also the default for every PHP backed webhost provider. That's the market they lost. They're the Perl of DBs.