Growth · alternatives · 2026

24 alternatives to The Analytics Setup Guidebook

Build scalable analytics & BI stacks in modern cloud era 📚

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. The Analytics Setup Guidebook launched in 2020; newer entries below may have overtaken it.

1WW
We wrote a book to help data people build scalable analytics stacks▲33
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 →
2
Analytics Setup Guidebook- Explaining the Confusing Analytics Landscape▲10
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 →
3
Lean Analytics▲100
Use data to build a better startup faster
2015 · leananalyticsbook.com · its alternatives →
4
Build a Stack▲212
Find the right software for your business
2020 · its alternatives →
5
Hashboard▲66
Model data once and help your whole team discover insights
2023 · hashboard.com · its alternatives →
6
Open-source BI and analytics for engineers▲293
We are building Quary (https://quary.dev), an engineer-first BI/analytics product. You can find our repo at https://github.com/quarylabs/quary and our website at https://www.quary.dev/. There’s a demo video here: https://www.youtube.com/watch?v=o3hO65_lkGU As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up…
2024 · github.com · its alternatives →
7
Data Engineering Book – An open source, community-driven guide▲251
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 →
8
Data-Driven UX Design: Metrics▲65
A beginner's hands-on guide to working with analytics for s…
2015 · mattish.com · its alternatives →
9
Grow▲158
Simple BI dashboards for small and medium businesses
2014 · growdataplatform.ai · its alternatives →
10
Playbook on Headless BI▲66
Startup guide to Headless BI
2022 · its alternatives →
11
Web Analytics 2.0▲66
New framework that will change how you think about analytics
2016 · amazon.com · its alternatives →
12
The Guide to Product Analytics▲247
A book of questions and answers from 25+ product experts
2020 · mixpanel.me · its alternatives →
13
We wrote a book about building business applications in Go▲269
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 →
14
From Data-Driven to Data Everywhere▲107
How to drive growth with user-facing analytics
2021 · toucantoco.com · its alternatives →
15
8 Essential Concepts of Big Data and Hadoop▲71
Everything you need to know about Big Data
2016 · simplilearn.com · its alternatives →
16SP
Self-Published Book – “Data Science in Production”▲172
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 →
17
Mastering Retention - Product Analytics Playbook Vol.1▲191
155-page ebook on using data to improve user retention
2017 · its alternatives →
18
State of Product Analytics Report▲184
How product teams use data to drive product-led growth
2020 · ae3888.host · its alternatives →
19
Lean B2B: Build Products Businesses Want▲70
Practical guide to B2B startups
2015 · amazon.com · its alternatives →
20
The Ultimate Guide to Startup Data Distribution ▲62
How to tell your company’s unique growth story
2015 · its alternatives →
21
Winning with Data▲107
Practical handbook on how to leverage data in your company
2016 · amazon.com · its alternatives →
22
The Data Science Handbook▲79
Advice and insights from 25 amazing data scientists
2017 · amazon.com · its alternatives →
23
Startup Guide to Analytics▲69
The simple guide to get started with analytics
2021 · guide.june.so · its alternatives →
24
Getting Your First Data Science Job▲89
Free 70-page book on data science careers with expert advice
2016 · learn.springboard.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →