Work · alternatives · 2026

We wrote a book to help data people build scalable analytics stacks" is a guide designed for data professionals who need to construct and maintain analytics infrastructure. Published in 2020, the book addresses the… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. We wrote a book to help data people build scalable analytics stacks launched in 2020; newer entries below may have overtaken it.

1. 1
   The Analytics Setup Guidebook▲136

   Build scalable analytics & BI stacks in modern cloud era 📚

   2020 · holistics.io · its alternatives →

2. 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. 3
   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 →

4. 4
   I wrote a book about using data science to solve “everyday” problems▲632

   Everyday Data Science. A book about using data science to solve day-to-day problems. It is a collection of stories, jokes, pictures, math, and code all designed to inspire future data professionals. We make decisions everyday, but often times we don

   2021 · andrewnc.github.io · its alternatives →

5. 5
   I wrote the book Building Mobile Apps at Scale▲357

   The guide for building large, iOS, and Android native apps - with the challenges and common solutions across the industry.

   2021 · mobileatscale.com · its alternatives →

6. 6SP
   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 →

7. 7
   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 →

8. 8
   Modern Data Stack▲292

   One platform for all things about the modern data stack

   2021 · moderndatastack.xyz · its alternatives →

9. 9
   Lean Analytics▲100

   Use data to build a better startup faster

   2015 · leananalyticsbook.com · its alternatives →

10. 10MO
    Map of Related Books for “Designing Data Intensive Apps”▲138

    2018 · anvaka.github.io · its alternatives →

11. 11
    Mozart Data▲112

    The easiest way for teams to build a Modern Data Stack

    2021 · mozartdata.com · its alternatives →

12. 12
    State of Product Analytics Report▲184

    How product teams use data to drive product-led growth

    2020 · ae3888.host · its alternatives →

13. 13
    Hashboard▲66

    Model data once and help your whole team discover insights

    2023 · hashboard.com · its alternatives →

14. 14
    Web Analytics 2.0▲66

    New framework that will change how you think about analytics

    2016 · amazon.com · its alternatives →

15. 15
    I wrote a book about Elasticsearch▲66

    Learn Elasticsearch through step-by-step solutions to real-world, non-trivial challenges in E-Commerce, Search-as-you-Type, Business Analytics, Geo Search, and more.

    2021 · elasticsearchbook.com · its alternatives →

16. 16
    From Data-Driven to Data Everywhere▲107

    How to drive growth with user-facing analytics

    2021 · toucantoco.com · its alternatives →

17. 17IM
    Interactive map for architecting big data pipelines▲144

    2017 · xyz.insightdataengineering.com · its alternatives →

18. 18
    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 →

19. 19
    The SaaS CPO Checklist▲102

    Build an optimal analytics experience for your users

    2021 · saas.toucantoco.com · its alternatives →

20. 20
    I built an open-source data pipeline tool in Go▲200

    Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

    2024 · github.com · its alternatives →

21. 21
    The Guide to Product Analytics▲247

    A book of questions and answers from 25+ product experts

    2020 · mixpanel.me · its alternatives →

22. 22
    How to analyse 100 GB of data on your laptop with Python▲264

    Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

    2019 · towardsdatascience.com · its alternatives →

23. 23
    Mastering Retention - Product Analytics Playbook Vol.1▲191

    155-page ebook on using data to improve user retention

    2017 · its alternatives →

24. 24
    Metabase Data Studio▲153

    Build the semantic layer that makes AI analytics trustworthy

    Mar 2026 · metabase.com · its alternatives →

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 →