Martin Kleppmann

Martin Kleppmann is a researcher and professor, and the author of Designing Data-Intensive Applications, a highly influential book on backend engineering. He is known for explaining complex topics in accessible ways.

#8 Distributed Systems#5 Database Internals#6 Data engineering

31CiteRank

Last updated 13 Nov 2026 · Named in 49 answers across 5 engines
Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.

How AI engines see them

Recognized by 5 of 5 measured engines. Updated 2026-10-26

All five engines agree that Kleppmann is a distributed systems researcher at the University of Cambridge and the author of Designing Data-Intensive Applications, and that he is not primarily an ML researcher. Copilot adds his work on CRDTs and Apache Avro and the 2026 second edition of the book. Gemini adds the turning the database inside-out idea. ChatGPT and Perplexity stress reliability and scalability trade-offs. Cited pages include martin.kleppmann.com, dataintensive.net and oreilly.com.

ChatGPTNamed in 11 answers
ChatGPT describes a figure in data-intensive systems engineering whose book Designing Data-Intensive Applications is widely read by backend, data and ML platform engineers.
Known for
- Designing Data-Intensive Applications book
- reliable scalable data systems
- data engineering trade-offs
GeminiNamed in 12 answers
Gemini describes a researcher, engineer and author known for Designing Data-Intensive Applications and for advocating event-driven architectures through the turning the database inside-out idea.
Known for
- Designing Data-Intensive Applications book
- turning the database inside-out idea
- event-driven architecture advocacy
Google AI ModeNamed in 5 answers
Google AI Mode describes a Cambridge associate professor, distributed systems researcher and Rapportive co-founder whose book explains the data infrastructure behind ML systems.
Known for
- Designing Data-Intensive Applications book
- distributed systems and consistency
- data pipeline infrastructure
PerplexityNamed in 11 answers
Perplexity describes a Cambridge associate professor working on distributed systems, security and local-first software who gives engineers a framework for reasoning about data system trade-offs.
Known for
- data system trade-off framework
- local-first collaboration software
- large-scale data infrastructure work
Bing AI ModeNot named
No description yet.
CopilotNamed in 10 answers
Copilot describes a Cambridge associate professor and former LinkedIn engineer who co-founded Rapportive and is known for CRDTs, Apache Avro schema evolution and the data-intensive applications book.
Known for
- CRDTs research
- Designing Data-Intensive Applications book
- Apache Avro schema evolution work

Top Segments

#8Distributed Systemsof 27
Named in 42 answers
#5Database Internalsof 25
Named in 27 answers
#6Data engineeringof 46
Named in 6 answers

Top URLs

1
Top Data Engineering & Data Analytics Experts (2026)
echoglobal.tech14 citations
2
Database Internals website
databass.dev9 citations
3
Top 30 Data Engineering & Data Infrastructure Leaders [2026] - DigitalDefynd Education
digitaldefynd.com8 citations

Words engines use about Martin

ddia is essential reading1 engine
explains trade-offs across machines1 engine

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Who are the most influential voices in Database internals & query engines?
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