7 New Database Performance Tuning Books Defining 2025

While working as a database consultant, Jean Sturm noticed frequent inefficiencies in SQL queries that slowed down critical applications. This book dives into the nuts and bolts of SQL performance tuning, offering concrete strategies ranging from indexing techniques to interpreting query execution plans. You’ll learn how to identify bottlenecks and apply both foundational and advanced optimization methods, including parallel processing and caching. Chapters like those on query optimization and database design provide clear examples that help you sharpen your skills whether you manage small projects or large enterprise databases. If you want to refine your SQL queries for better speed and responsiveness, this book delivers relevant insights without unnecessary fluff.

What happens when a focused guide meets the challenge of large-scale SQL performance? Yvonne Grove, drawing from her hands-on experience with data-intensive environments, reveals how understanding query execution plans can transform sluggish queries into efficient operations. You’ll learn to navigate index selection, rewrite queries for speed, and apply advanced join algorithms, all supported by case studies that put theory into practice. Chapters on profiling tools and parallel query execution equip you to measure and accelerate performance in complex datasets. If you manage or analyze large databases, this book offers precise methods to boost your SQL query efficiency without getting lost in jargon.

This tailored book explores the latest developments in database performance tuning for 2025, focusing on emerging discoveries and breakthrough techniques shaping the field. By examining cutting-edge advancements, it provides a deep dive into how new technologies and research influence query optimization, indexing, and system performance. The content is personalized to match your background and interests, ensuring that complex concepts are presented in ways that resonate with your experience and goals. This approach enables you to engage directly with the most relevant innovations, empowering you to stay ahead in a rapidly evolving landscape. The book reveals contemporary insights that would typically require sifting through numerous sources, all tailored specifically for your learning journey.

During his hands-on work with MySQL systems, Tiago Henrique Ribeiro Ferreira identified persistent gaps in common optimization approaches. This book distills 20 specific strategies that focus on practical MySQL tuning, covering indexing nuances, query performance, and server configurations with clear examples and actionable techniques. You’ll gain concrete skills to enhance database responsiveness and stability, whether managing large-scale applications or refining smaller projects. The guide suits database administrators and developers who want a focused, example-driven resource without getting lost in overly theoretical material.

What started as a deep dive into PostgreSQL's inner workings became a detailed guide for anyone aiming to build faster, more efficient queries. Henrietta Dombrovskaya and Anna Bailliekova take you beyond typical database tuning by teaching you to think like the PostgreSQL optimizer itself, unraveling execution plans and choosing the right indexes and joins for different query types. You’ll find practical discussions on OLTP versus OLAP optimization, avoiding pitfalls of object-relational mappers, and harnessing new features like Postgres 15 and NORM-generated functions. This book suits backend developers, DBAs, and system architects looking to improve query performance and build scalable applications—though if you're not working with PostgreSQL, some advice may feel specific.

Marek Kos challenges conventional wisdom by breaking down the complexities of database performance into foundational principles accessible to every skill level. This book teaches you how to optimize major database systems like Oracle, MySQL, and MongoDB, focusing on query tuning, SQL refinement, and performance monitoring. It dives into cloud computing, AI, and machine learning considerations, providing you with strategies applicable across industries from e-commerce to data science. If you're aiming to sharpen your database tuning skills or lead enterprise-level performance improvements, this book offers concrete frameworks and examples without overwhelming jargon.

This personalized book explores the evolving landscape of database scaling and optimization, focusing on emerging trends and technologies shaping 2025 and beyond. It examines future-proof techniques designed to help you anticipate and meet the next generation of database performance challenges. Tailored to your interests and background, it navigates advanced concepts such as dynamic scaling, resource allocation, and adaptive tuning. The content reveals how to stay ahead of rapid developments by focusing on the most relevant discoveries and innovations in database management. By concentrating on your specific goals, this tailored guide offers a unique opportunity to deepen your understanding of how to optimize database systems for future demands efficiently.

After analyzing numerous SQL Server setups, Ed Maloane found that optimal performance hinges on the storage infrastructure and ongoing database tuning. This book walks you through setting up SQL Server 2022 using industry best practices, from disk configuration and security settings to configuring database mail and SQL Agent notifications. You’ll learn how to implement maintenance jobs, monitor database health, and address common performance issues like blocking and resource-intensive queries. It’s especially useful if you manage SQL Server environments and want practical guidance on keeping your production systems running smoothly without wading through overly technical jargon.

What started as a deep dive into the mechanics of database speed and capacity became a clear roadmap for anyone aiming to optimize and scale their databases effectively. Cybellium Ltd and Kris Hermans bring together foundational principles like query optimization and indexing with advanced tactics such as sharding, caching, and cloud container optimization. You'll come away with practical know-how on monitoring performance, fine-tuning bottlenecks, and implementing high-availability strategies, all illustrated through real-world use cases from diverse industries. This book suits database professionals eager to sharpen their performance tuning skills and those stepping into this complex field.