Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by Martin Kleppmann
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann holds a exceptional rating of 4.80 out of 5, based on 4.3K reader ratings. First published in 2017. The book spans 618 pages.
About Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Peer under the hood of the systems you already use, and learn how to use and operate them more effectively. Make informed decisions by identifying the strengths and weaknesses of different tools. Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity. Understand the distributed systems research upon which modern databases are built. Peek behind the scenes of major online services, and learn from their architectures
| Detail | Value |
|---|---|
| Author | Martin Kleppmann |
| Published | 2017 |
| Pages | 618 |
| Kindle Price | $38.49 |
| Genres | Science |
| Average Rating | 4.80 / 5.00 |
| Total Ratings | 4,334 |
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Frequently Asked Questions
What genre is Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems?
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is categorized as Science. Its primary genre classification is Science.
Is Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems worth reading?
Based on 4.3K reader ratings, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems has an average score of 4.80 out of 5.00, which is considered "Exceptional."
How many pages is Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems?
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems has 618 pages. It is a longer read suited for dedicated readers.
Who wrote Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems?
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems was written by Martin Kleppmann. It was first published in 2017.
What is the ISBN for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems?
The ISBN-13 for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is 9781491903117.
How much does Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems cost on Kindle?
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems is available on Kindle for $38.49. Pricing may vary by region and promotional offers.
Data sourced from community book ratings and reviews. Last updated: April 15, 2026
