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Cover of Designing Data-intensive Applications

Designing Data-intensive Applications

Martin Kleppmann

Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term?

167.7 score
#3 overall · #1 in System Design
↑1

Score based on developer article recommendations — not sales data or reviews.

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🟢 Developer Verdict

Explores the architectural principles behind reliable, scalable, and maintainable data-intensive applications with deep technical detail.

Read this if

  • You want to deeply understand modern distributed data systems.
  • You are preparing for advanced system design interviews at tech companies.
  • You need to build or evolve highly scalable and fault-tolerant applications.

Skip this for now if

  • You are seeking a high-level overview of system design concepts.
  • You prefer hands-on coding exercises or specific implementation guides.
  • You are new to software engineering and lack advanced technical context.
Developer signal: Overwhelming Consensus · 98% 61 analyzed mentions Deep TechnicalComprehensiveFoundational

🔄 Compare & Reading Path

📊 Why Developers Recommend

1.

It builds deeper systems thinking — understanding how distributed systems behave under real-world constraints.

2.

Recommended across 55 independent developer articles, showing broad consensus across the community.

3.

Developers value this book for building durable technical understanding, going beyond surface-level patterns into the reasoning behind design decisions.

Top signals: Deep TechnicalComprehensiveFoundationalPracticalWell Written

💬 What Developers Say

"my favorite book in computer programming is [Designing Data-intensive Applications by Martin Kleppmann]"

— jacobjzhang · A Systems Design Interview Primer for New Engineers · Jul 27, 2019

"I highly recommend the System Design Cheatsheet and reading Designing Data-Intensive Applications."

— jacobjzhang · How to Prepare for a Technical Interview · Aug 11, 2020

"The holy grail - Designing Data-Intensive Applications, the book is outstanding."

— iafonov · Interview Preparation Notes · Jul 30, 2019

Based on 61 developer article mentions

👤 Who Should Read This

Best for

  • Senior engineers deepening their expertise
  • Tech leads making technology and architecture decisions
  • Intermediate developers ready to go deeper

Less ideal for

  • Those who haven't written any code yet
Difficulty: Intermediate Style: Deep, Reference-worthy

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Cover of Designing Data-intensive Applications
Designing Data-intensive Applications

Martin Kleppmann

Mentioned in 85 articles · #3 overall

As an Amazon Associate, we earn from qualifying purchases.

Recommended in 85 Articles

A Systems Design Interview Primer for New Engineers

● DEVby jacobjzhang· Jul 27, 2019
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Interview Preparation Notes

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Designing Data Intensive Applications - Book Review

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Honeypot Cult Article: The Ultimate Guide to Passing Tech Interviews

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Score Trend

Last 90 Days

Articles

19

vs prev 90d

+12

All Time

Unique authors

55

Total mentions

85

Source Platforms

DEV 85
📰 About this signal · 61 analyzed mentions · Mostly High confidence

Article Types

Book List 26
Learning Path 14
Tutorial With Reference 9
Personal Story 6
Book Review 3
Opinion Piece 3

Confidence

High 48
Medium 13
Also known as: ddia · data intensive