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      <title>Chaos and Order</title>
      <link>https://www.youngju.dev/blog</link>
      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Sat, 16 May 2026 00:00:00 GMT</lastBuildDate>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive.en</guid>
    <title>Augmented Analytics &amp; BI AI 2026 Complete Guide — Tableau Pulse · Power BI Copilot · Qlik Answers · ThoughtSpot Spotter · Sigma Computing · Looker + Gemini · Mode · Hex · Domo · MicroStrategy Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive.en</link>
    <description>As of May 2026, dashboard-only BI is dying and conversational BI plus agentic data exploration has become the standard. Tableau Pulse (Einstein-powered metric monitoring), Power BI Copilot (18 months after GA), Qlik Answers (RAG over your data), ThoughtSpot Spotter (conversational AI agent), Sigma, Mode, Hex, Domo, MicroStrategy ONE Auto, Looker + Gemini, SAP Joule, Oracle AI Assistant, Apache Superset/Metabase/Lightdash — this article compares the entire augmented-analytics ecosystem honestly. Semantic layers (dbt Semantic Layer, Cube, AtScale), AI spreadsheets (Excel Copilot, Equals, Rows, Quadratic), Korean and Japanese adoption, and the &quot;hallucinated metrics&quot; risk are all covered.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>augmented-analytics</category><category>bi-ai</category><category>tableau-pulse</category><category>power-bi-copilot</category><category>qlik-answers</category><category>thoughtspot-spotter</category><category>sigma-computing</category><category>looker-gemini</category><category>mode</category><category>hex</category><category>domo</category><category>microstrategy</category><category>english</category>
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  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive.ja</guid>
    <title>拡張分析 &amp; BI AI 2026完全ガイド — Tableau Pulse · Power BI Copilot · Qlik Answers · ThoughtSpot Spotter · Sigma Computing · Looker + Gemini · Mode · Hex · Domo · MicroStrategy 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive.ja</link>
    <description>2026年5月時点、「ダッシュボードを見るだけのBI」は終わり、「自然言語で質問すれば分析が返ってくるBI」が標準となった。Tableau Pulse(Einsteinベースのメトリクス監視)、Power BI Copilot(GA後18か月)、Qlik Answers(RAGベース)、ThoughtSpot Spotter(対話型AIエージェント)、Sigma · Mode · Hex · Domo · MicroStrategy ONE Auto、Looker + Gemini、SAP Joule、Oracle AI Assistant、Apache Superset/Metabase/Lightdashまで、拡張分析の全エコシステムを正直に比較する。セマンティックレイヤー(dbt Semantic Layer、Cube、AtScale)、AIスプレッドシート(Excel Copilot、Equals、Rows、Quadratic)、韓国・日本での導入事例、「ハルシネートされたメトリクス」リスクまで網羅する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>augmented-analytics</category><category>bi-ai</category><category>tableau-pulse</category><category>power-bi-copilot</category><category>qlik-answers</category><category>thoughtspot-spotter</category><category>sigma-computing</category><category>looker-gemini</category><category>mode</category><category>hex</category><category>domo</category><category>microstrategy</category><category>日本語</category>
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  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive</guid>
    <title>증강 분석 &amp; BI AI 2026 완벽 가이드 - Tableau Pulse · Power BI Copilot · Qlik Answers · ThoughtSpot Spotter · Sigma Computing · Looker + Gemini · Mode · Hex · Domo · MicroStrategy 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-augmented-analytics-bi-ai-2026-tableau-pulse-power-bi-copilot-qlik-answers-thoughtspot-spotter-sigma-looker-deep-dive</link>
    <description>2026년 5월 기준, &quot;대시보드만 보던 BI&quot;는 죽고 &quot;자연어로 질문하면 분석이 나오는 BI&quot;가 표준이 되었다. Tableau Pulse(Einstein 기반 메트릭 모니터링), Power BI Copilot(GA 후 18개월), Qlik Answers(RAG 기반), ThoughtSpot Spotter(대화형 AI 에이전트), Sigma·Mode·Hex·Domo·MicroStrategy ONE Auto, Looker + Gemini, SAP Joule, Oracle AI Assistant, Apache Superset/Metabase/Lightdash까지 증강 분석 전 생태계를 정직하게 비교한다. 시맨틱 레이어(dbt Semantic Layer, Cube, AtScale), AI 스프레드시트(Excel Copilot, Equals, Rows, Quadratic), 한국·일본 도입 사례, &quot;환각된 메트릭&quot; 리스크까지 다룬다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>augmented-analytics</category><category>bi-ai</category><category>tableau-pulse</category><category>power-bi-copilot</category><category>qlik-answers</category><category>thoughtspot-spotter</category><category>sigma-computing</category><category>looker-gemini</category><category>mode</category><category>hex</category><category>domo</category><category>microstrategy</category>
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  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive.en</guid>
    <title>Spreadsheet / Database Alternatives in 2026 — Deep-Dive on Airtable, NocoDB, Baserow, Grist, Rows, Coda, SeaTable, AppFlowy, Teable, Equals, Sigma, kintone</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive.en</link>
    <description>A 2026 map of &quot;looks like a spreadsheet, behaves like a database&quot; tools. We cover Airtable price backlash and the OSS alternatives filling the gap (NocoDB, Baserow, Grist, Teable), the AI-first crowd (Rows, Coda, Excel Copilot, Sheets Gemini), the data-analysis crossover (Sigma Computing, Equals, Brex-acquired Numeric), and the Japanese powerhouse kintone (Cybozu) plus Korean/Japanese form-and-workflow patterns. Relational vs Excel-style formulas, the blur with ETL/BI, self-hosting vs SaaS, and what AI actually changes.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>spreadsheet</category><category>no-code</category><category>low-code</category><category>airtable</category><category>nocodb</category><category>baserow</category><category>grist</category><category>rows</category><category>coda</category><category>seatable</category><category>appflowy</category><category>teable</category><category>equals</category><category>sigma-computing</category><category>kintone</category><category>2026</category><category>deep-dive</category><category>english</category>
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  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive.ja</guid>
    <title>スプレッドシート / データベース代替 2026 — Airtable・NocoDB・Baserow・Grist・Rows・Coda・SeaTable・AppFlowy・Teable・Equals・Sigma・kintone 徹底比較</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive.ja</link>
    <description>2026年の「スプレッドシートに見えてデータベースのように動く」ツール群を地図化する。Airtableの料金論争とそれを埋める OSS 勢(NocoDB、Baserow、Grist、Teable)、AI ファースト勢(Rows、Coda、Excel Copilot、Sheets Gemini)、データ分析領域とクロスオーバーする Sigma Computing と Equals、Brex が買収した Numeric、そして日本の強者 kintone(サイボウズ)と韓国・日本のフォーム/ワークフロー事情まで。リレーショナル vs Excel 数式、ETL/BI との境界、セルフホストか SaaS か、AI が実際に何を変えるのかを整理する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>spreadsheet</category><category>no-code</category><category>low-code</category><category>airtable</category><category>nocodb</category><category>baserow</category><category>grist</category><category>rows</category><category>coda</category><category>seatable</category><category>appflowy</category><category>teable</category><category>equals</category><category>sigma-computing</category><category>kintone</category><category>2026</category><category>deep-dive</category><category>日本語</category>
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  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive</guid>
    <title>스프레드시트 / 데이터베이스 알트 2026 — Airtable·NocoDB·Baserow·Grist·Rows·Coda·SeaTable·AppFlowy·Teable·Equals·Sigma·kintone 심층 비교</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-spreadsheet-database-alternatives-2026-airtable-nocodb-baserow-grist-rows-coda-deep-dive</link>
    <description>2026년 현재 &quot;스프레드시트 같지만 데이터베이스 같은&quot; 도구의 지도를 그린다. Airtable의 가격 논란과 그 빈 자리를 채우는 OSS 알트(NocoDB·Baserow·Grist·Teable), AI-first 시도(Rows·Coda·Excel Copilot·Sheets Gemini), 데이터 분석 영역과 겹치는 Sigma Computing·Equals·Numeric(2026년 인수), 그리고 일본의 강자 kintone(Cybozu)과 한국·일본 시장의 폼/워크플로우 사례까지. 관계형 vs Excel 수식, ETL/BI와의 경계, 셀프호스팅 vs SaaS, AI가 실제로 무엇을 바꾸는지를 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>spreadsheet</category><category>no-code</category><category>low-code</category><category>airtable</category><category>nocodb</category><category>baserow</category><category>grist</category><category>rows</category><category>coda</category><category>seatable</category><category>appflowy</category><category>teable</category><category>equals</category><category>sigma-computing</category><category>kintone</category><category>2026</category><category>deep-dive</category>
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