---
product_id: 123432637
title: "Database Internals: A Deep Dive into How Distributed Data Systems Work"
price: "HK$506"
currency: HKD
in_stock: true
reviews_count: 13
url: https://www.desertcart.hk/products/123432637-database-internals-a-deep-dive-into-how-distributed-data-systems
store_origin: HK
region: Hong Kong
---

# Database Internals: A Deep Dive into How Distributed Data Systems Work

**Price:** HK$506
**Availability:** ✅ In Stock

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- **What is this?** Database Internals: A Deep Dive into How Distributed Data Systems Work
- **How much does it cost?** HK$506 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hk](https://www.desertcart.hk/products/123432637-database-internals-a-deep-dive-into-how-distributed-data-systems)

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## Description

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Review: Packed with details, great read - Can't believe I forgot to write a review for this one! Partly it's probably because I usually have less to say (or more precisely it's harder for me to be properly articulate) about things I like than I do about the ones I don't. And boy did I like Database Internals! I'll try my best to explain why, the book and the author surely deserve it. Being a back-end engineer, the main reason for picking this one up was to better understand the distributed databases that I may end up in (or have already had) contact with. With that in mind, I planned on just skimming the first part of the book but imagine my surprise when I found myself Googling BW and LSM trees and going through papers comparing this and that algorithm and their impacts on memory, storage and CPU caches in multicore systems. The geek got suckered in! With my curiosity circuits pleasantly warmed by the first part, I moved on to the second part of the book - the main dish - where a similar scenario unfolded: again I swallowed up whatever was served and ended up digging for more and adding scores of books and papers to my to-read list. All in all, Database Internals reads felt a lot like a trip to the zoo or a local museum: chock full of data structures and algorithms used by modern-day databases (and distributed systems in general), the book will showcase each item with sufficient details for you to grasp what they're about and then provide you with enough bibliography and reference material to last you a lifetime... or at least a couple of years.
Review: Worth the effort - This book took me a few years to get through. It is much more low-level than something like DDIA. Having worked on database code for the past couple of years, that context was crucial in helping me understand the book. The book is great because it covers all of the important ideas in databases and talks about the tradeoffs of using various algorithms. Succinct, detailed, and quality.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #45,053 in Books ( See Top 100 in Books ) #3 in Management Information Systems #3 in Data Warehousing (Books) #9 in Data Processing |
| Customer Reviews | 4.6 out of 5 stars 545 Reviews |

## Images

![Database Internals: A Deep Dive into How Distributed Data Systems Work - Image 1](https://m.media-amazon.com/images/I/91UYIt74czL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Packed with details, great read
*by F***K on November 17, 2020*

Can't believe I forgot to write a review for this one! Partly it's probably because I usually have less to say (or more precisely it's harder for me to be properly articulate) about things I like than I do about the ones I don't. And boy did I like Database Internals! I'll try my best to explain why, the book and the author surely deserve it. Being a back-end engineer, the main reason for picking this one up was to better understand the distributed databases that I may end up in (or have already had) contact with. With that in mind, I planned on just skimming the first part of the book but imagine my surprise when I found myself Googling BW and LSM trees and going through papers comparing this and that algorithm and their impacts on memory, storage and CPU caches in multicore systems. The geek got suckered in! With my curiosity circuits pleasantly warmed by the first part, I moved on to the second part of the book - the main dish - where a similar scenario unfolded: again I swallowed up whatever was served and ended up digging for more and adding scores of books and papers to my to-read list. All in all, Database Internals reads felt a lot like a trip to the zoo or a local museum: chock full of data structures and algorithms used by modern-day databases (and distributed systems in general), the book will showcase each item with sufficient details for you to grasp what they're about and then provide you with enough bibliography and reference material to last you a lifetime... or at least a couple of years.

### ⭐⭐⭐⭐⭐ Worth the effort
*by J***H on May 19, 2024*

This book took me a few years to get through. It is much more low-level than something like DDIA. Having worked on database code for the past couple of years, that context was crucial in helping me understand the book. The book is great because it covers all of the important ideas in databases and talks about the tradeoffs of using various algorithms. Succinct, detailed, and quality.

### ⭐⭐⭐⭐⭐ One of the Best Books out there
*by A***L on November 3, 2019*

This is one of the best texts covering Database internals. Databases are used everyday, and understanding what happens under the hood is daunting task. This book takes a pragmatic approach on the topic, starting with basics and then taking a deeper dive into how the basic data structures and concept come together. IMHO, this book shall appeal to both Database developer's and engineer's who want to understand how databases work. This book is must have to for the engineer's who really want to get into Database development. Otherwise also this book is a must have reference in general. I personally liked the attention to details in the book on what really matter's when writing a real database. The concepts are equally applicable to SQL and NoSQL databases.

## Frequently Bought Together

- Database Internals: A Deep Dive into How Distributed Data Systems Work
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

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*Product available on Desertcart Hong Kong*
*Store origin: HK*
*Last updated: 2026-05-20*