Work · alternatives · 2026
24 alternatives to Analytics Setup Guidebook- Explaining the Confusing Analytics Landscape
Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era
Analytics Setup Guidebook is a resource that helps users navigate the complex world of analytics tools and implementation. Created by Holistics and launched in 2020, it breaks down confusing analytics concepts and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Analytics Setup Guidebook- Explaining the Confusing Analytics Landscape launched in 2020; newer entries below may have overtaken it.
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Build scalable analytics & BI stacks in modern cloud era 📚
2020 · holistics.io · its alternatives →
- 2WW
Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era
2020 · holistics.io · its alternatives →
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Airbook 2.0▲917hey hn — we’re hoshang & vishal, co-founders of airbook. it’s an ai-native workspace to build notebooks, dashboards, or even lightweight data apps — all from one place (https://www.airbook.io) we used to run ops and analytics at saas startups and constantly found ourselves juggling 10 tools just to get one thing done - exploration in a notebook, kpis in a dashboard, and re-usable scripts or apps hacked together elsewhere. it was slow, fragmented, and repetitive. with Airbook, you can connect to your database, warehouse, or even directly to saas tools if you don’t have an etl in…
2024 · airbook.io · its alternatives →
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- 5FL
2015 · fieldbook.com · its alternatives →
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2021 · practical-go-lessons.com · its alternatives →
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Tables by Google▲783Tables helps teams easily track & automate tasks
2020 · tables.area120.google.com · its alternatives →
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50+ actionable data templates with interactive SQL queries
2023 · app.airbook.io · its alternatives →
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Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com · its alternatives →
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New framework that will change how you think about analytics
2016 · amazon.com · its alternatives →
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- 12IW
2012 · guidetoyc.com · its alternatives →
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Get insights into building modern Go applications from the best Go veterans. Our blog covers best practices, tips, and tricks for creating high-performance, advanced Go apps.
2021 · threedots.tech · its alternatives →
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The New GitBook▲639Your team's go-to for technical knowledge management
2023 · gitbook.com · its alternatives →
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Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
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ROAARRR▲182Hey HN, I built ROAARRR because most analytics tools make it hard to get clear answers. You spend hours setting up dashboards and connecting data, but you still don’t really know what drives growth. ROAARRR brings your key data together and shows your funnel from awareness to revenue. You can track product activity, create charts for specific events, and see how changes affect retention and revenue. It’s free to try today. I’d love your feedback, especially on what feels confusing or missing.
Nov 2025 · roaarrr.app · its alternatives →
- 17AJ
2012 · segmentio.github.com · its alternatives →
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155-page ebook on using data to improve user retention
2017 · its alternatives →
- 22SP
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
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A book of questions and answers from 25+ product experts
2020 · mixpanel.me · its alternatives →
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Hashboard▲66Model data once and help your whole team discover insights
2023 · hashboard.com · its alternatives →
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