4.7/5
Goodreads rating
11,264 reviews
Report
Should I Use Designing Data-Intensive Applications (DDIA) — an O'Reilly book by Martin Kleppmann?
Worth it
Worth itBuy if you build, design, or operate data-heavy systems — it's the field's standard reference, rated 4.7/5 across 11,264 Goodreads reviews.
The standard data-systems reference. Buy if you build backends or pipelines; skip if you want light, hands-on reading.
Confidence: High
4.8/5
Amazon rating
5,455 ratings
€51.65
Paperback price
Amazon FR, 5% savings listed
614+ pages
Length
2nd edition out 2025
Value for money
5
One purchase, 614 dense pages
Ease of use
3
Guess: dense, effortful; not light reading
Feature depth
5
Foundations through distributed systems, 614 pages
Pros
Cons
Gotchas
- mediumFirst edition (2017) predates cloud/AI shifts; buy the 2025 second edition instead.⁸
- lowPaperback ~€52; audio and other formats priced separately — confirm format and edition before checkout.⁴
- lowStatic content — no live updates; knowledge refreshes only when a new edition ships.²
- lowUnofficial PDFs circulate; official site lists no security page.
Best for
- Backend & distributed-systems engineers
- Data engineers and architects
- System-design interview prep
- Self-taught devs filling CS gaps
Not for
- Non-technical buyers — it's a book, not software
- Beginners needing tutorial-style hand-holding
- Guess: readers wanting hands-on code exercises
- Casual readers; 614 dense pages
Companies that use it
- Addepar
- Roblox⁷
- Treasure Data
Pricing
Paperback
€51.65
- 614+ pages
- Audio edition also offered
- 2nd edition available via O'Reilly
Security
No known public vulnerabilities found in the sources reviewed.
What users say
Engineers on Reddit, Blind, and LinkedIn overwhelmingly recommend DDIA as the go-to data-systems reference, with a minority calling it a broad-but-shallow survey.
“This book is awesome. It bridges the huge gap between distributed systems theor”
“I'd recommend Designing Data-Intensive Applications (DDIA) — an O'Reilly book by Martin Kleppmann”
“Yes I've read it. It's a decent survey”
Alternatives
Compare Designing Data-Intensive Applications (DDIA) — an O'Reilly book by Martin Kleppmann with each alternative.
O'Reilly Learning subscription
Read DDIA 2E plus a full tech library for one fee.
YouTube DDIA chapter walkthroughs
Free chapter-by-chapter discussion if 614 pages feels heavy.
SE Radio podcast
Free deep-dive interviews, including Kleppmann on local-first.
Designing Data-Intensive Applications (DDIA) — an O'Reilly book by Martin Kleppmann vs SE Radio podcastDatabase Internals (Petrov)
Guess: deeper storage-engine focus for specialists.
Designing Data-Intensive Applications (DDIA) — an O'Reilly book by Martin Kleppmann vs Database Internals (Petrov)Full analysis
Based on 40+ public sources; ratings from Goodreads and Amazon, sentiment from Reddit and Blind.
Sources
- Official DDIA book sitedataintensive.netofficial
- DDIA 2nd Edition — O'Reillyoreilly.comofficial
- Goodreads — DDIA, 4.7/5 (11,264 reviews)goodreads.comreview
- Amazon FR — DDIA paperback, 4.8/5amazon.frreview
- Reddit r/dataengineering recommendationsreddit.comreview
- Reddit r/ExperiencedDevs on 2nd editionreddit.comreview
- Blind interview discussions mentioning DDIAteamblind.comreview
- ScyllaDB on how DDIA evolved for AI/cloudscylladb.comnews
- dataintensive.net security pagedataintensive.netsecurity
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