<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tables on StorageNews</title><link>https://storagenews.top/tags/tables/</link><description>Recent content in Tables on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 11 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/tables/index.xml" rel="self" type="application/rss+xml"/><item><title>S3 Vectors cut vector DB costs by removing extra layers</title><link>https://storagenews.top/posts/s3-vectors-cut-vector-db-costs-by-removing-extra-layers/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-vectors-cut-vector-db-costs-by-removing-extra-layers/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Amazon S3&amp;#039;s 20th anniversary on Pi Day 2026 arrives as &lt;strong>S3 Vectors&lt;/strong> fundamentally changes object storage for AI workloads. The central thesis is that AWS Storage has evolved from simple durability into the active data foundation required for generative AI and agentic systems. Readers will learn how &lt;strong>S3 Tables&lt;/strong> now support Intelligent-Tiering and Replication to slash analytics costs, alongside concrete strategies for executing complex NAS migrations without downtime.&lt;/p></description></item></channel></rss>