7 New Database Performance Books with Fresh Insights for 2025

Adam Jones, a seasoned expert in PostgreSQL and database management, channels his extensive experience into this detailed exploration of PostgreSQL’s advanced features. You'll find thorough discussions on internal architecture, indexing strategies, transaction control, and replication techniques that sharpen your ability to optimize database performance. This book is tailored for database administrators, system architects, and developers who already understand database basics and want to deepen their mastery of PostgreSQL’s capabilities. For example, chapters on security and scalability offer concrete ways to enhance data integrity and handle growing workloads efficiently, making it a solid choice if you aim to elevate your PostgreSQL expertise.

Drawing from over ten years of experience as a software engineer working with Ruby on Rails and PostgreSQL, Andrew Atkinson developed this guide to help developers tackle scaling and performance challenges head-on. You’ll learn how to handle multi-terabyte databases, master complex Active Record queries, and apply advanced PostgreSQL features like partitioning, sharding, and full-text search to your Rails applications. Chapters like those on schema migrations and specialized indexing provide practical exercises that build your confidence in real production environments. This book suits developers aiming to deepen their database skills and improve the reliability and scalability of their Rails apps.

This tailored book explores the evolving landscape of database performance tuning as of 2025, focusing on the most recent discoveries and innovations in the field. It examines key principles of optimizing database architectures, query execution, and resource management, all matched carefully to your background and skill level. By concentrating on your specific interests and goals, the book reveals insights into emerging research and techniques that keep your database systems efficient and scalable. This personalized approach ensures you engage deeply with content that directly supports your learning needs, enabling you to stay ahead in managing complex, high-performance database environments.

When the authors first realized that many MySQL administrators struggled with the complex demands of high availability and disaster recovery, they set out to create a resource that goes beyond basics. Drawing from their extensive experience managing large-scale MySQL deployments at companies like Meta and American Airlines, they guide you through mastering MySQL 8.2 with hands-on instructions covering installation, upgrading, replication, and security design. You’ll learn to configure InnoDB and NDB clusters for fault tolerance and optimize performance with practical examples rooted in real-world challenges. This book suits database professionals aiming to deepen their operational expertise and tackle MySQL administration at scale.

Yvonne Grove’s book takes a deep dive into optimizing SQL queries specifically for large datasets, filling a gap many database professionals face when basic SQL knowledge falls short. You’ll explore detailed techniques like index selection and query rewriting, but what sets this guide apart is its emphasis on understanding query execution plans and how they affect performance. The case studies scattered throughout provide concrete examples of real-world challenges, giving you the chance to apply these strategies directly. If you manage complex databases or want to improve your data processing efficiency, this book offers focused insights that go beyond surface-level tips.

After analyzing the intricacies of MySQL performance, Tiago Henrique Ribeiro Ferreira found that many traditional tuning approaches missed key optimization opportunities. His book, Database MySQL, walks you through 20 targeted strategies that enhance MySQL speed and efficiency, covering indexing, query optimization, and server configuration tweaks with practical examples. You gain a detailed understanding of MySQL internals and how to apply best practices to keep your database running smoothly. This guide suits both seasoned DBAs aiming to refine their craft and developers eager to deepen their database optimization skills.

This tailored book explores advanced query strategies designed specifically for database professionals eager to stay at the forefront of developments in 2025. It examines the latest optimization techniques, helping you understand emerging trends and complex query behaviors with a focus that matches your background and interests. By delving into personalized content, it reveals how cutting-edge discoveries reshape query performance and efficiency in modern database environments. The content is carefully crafted to address your specific goals, offering you an engaging learning experience that highlights novel approaches and innovative tuning methods. This personalized guide ensures you gain relevant insights into the evolving landscape of database query optimization tailored to your expertise and aspirations.

What if everything you thought about query optimization was too vague or overly complex? Henrietta Dombrovskaya and Anna Bailliekova cut through the noise to show that efficient PostgreSQL queries are achievable by any motivated professional. You’ll learn to think like the database optimizer itself, understanding execution plans and choosing the right techniques for different query types—from short queries to heavy OLAP workloads. The book walks you through practical topics like index selection, join algorithms, and avoiding common pitfalls in object-relational mappers, all grounded in examples from Postgres 15 and the latest PostgresAir database. If you’re involved in backend development or database administration, this book equips you to build faster, more scalable applications without mysticism.

After analyzing extensive case studies and examples, Marek Kos developed a guide that cuts through the jargon surrounding database performance. This book walks you through the core principles of tuning and optimizing widely used databases like Oracle, MySQL, and MongoDB, focusing on practical techniques such as query optimization and database monitoring. You’ll find detailed explanations on handling performance challenges across cloud computing, AI, and machine learning contexts. Whether you’re managing enterprise databases or developing software, the book equips you with skills to diagnose bottlenecks and maintain efficiency.