8 Next-Gen Query Performance Books Defining 2025

Mark Lorenz, through his extensive expertise with PostgreSQL, crafted this book to address the gap between basic SQL knowledge and mastering the complex features that drive efficient querying in large-scale databases. You’ll explore over 60 tutorials that dive into advanced PostgreSQL functionalities, such as window functions, Common Table Expressions (CTEs), and JSON operations, equipping you with methods to write leaner, more performant queries. This book suits developers who already understand SQL fundamentals but want to elevate their skills by learning how to leverage PostgreSQL’s built-in capabilities to optimize both query elegance and speed. For example, chapters detail the nuances of date and time functions, enabling you to handle temporal data with precision.

Drawing from his deep understanding of SQL and data analysis, Menno de Laat offers a focused exploration of query optimization techniques tailored for today's data demands. You’ll gain clear insights into reading execution plans, pinpointing bottlenecks, and crafting more efficient queries that can drastically reduce wait times. The book doesn’t just skim theory; it dives into practical examples that clarify how indexes and advanced methods can speed up your work. It’s a solid pick if you want to sharpen your SQL skills and make your data analysis processes leaner, whether you’re just starting out or already comfortable with SQL.

This tailored book explores the latest breakthroughs in query speed advancements emerging in 2025. It delves into the newest techniques and research discoveries that are reshaping query performance, focusing on innovations that matter most to your unique interests and expertise. By concentrating on topics relevant to your background, it reveals fresh insights and evolving methods that keep you at the forefront of database optimization. Designed to match your specific goals, this personalized guide examines cutting-edge developments and practical examples to enhance your understanding and application of modern query acceleration methods. It offers an engaging learning experience that aligns directly with your pursuit of faster, more efficient queries in today’s dynamic data environments.

Jean Sturm’s approach in this book is rooted in clear, methodical strategies that address the practical challenges of SQL query optimization. You’ll find detailed explanations on interpreting query execution plans and how to spot performance bottlenecks, alongside actionable techniques like indexing and parallel processing. The chapters unfold with real examples that show you how to improve database responsiveness, which is especially useful if you manage complex or large-scale data environments. This book suits both newcomers aiming to grasp SQL performance basics and seasoned developers looking to refine their tuning skills, offering a balanced mix of foundational concepts and advanced tactics.

What started as a frustration with managing WordPress databases became Maxwell Williams's 30-day guide that demystifies MySQL queries for non-developers. You’ll learn to navigate your WordPress database structure, craft precise SELECT statements, and optimize performance with practical examples tailored to real website scenarios. The book goes beyond basics, covering advanced JOINs, subqueries, and crucial security practices, making it a solid choice if you want to take control of your site’s data without relying on developers. If you’re looking for a clear path to mastering database queries specifically for WordPress, this book delivers what you need without fluff.

After decades immersed in database research and development, Henrietta Dombrovskaya crafted this book to demystify the process of writing efficient PostgreSQL queries. You’ll learn to think from the database engine’s perspective, mastering how to interpret execution plans and apply targeted optimization techniques like index usage and join strategies. The book takes you through performance measurement, setting concrete goals, and avoiding common pitfalls in object-relational mappers, culminating in guidance on optimizing entire applications. If you’re involved with PostgreSQL development or administration, this volume offers you practical insights grounded in real-world experience to boost your query performance.

This tailored book explores the latest developments in cloud database query optimization, focusing on Amazon Redshift and RDS environments. It examines how to enhance query performance by diving into the newest techniques and discoveries from 2025, matching your background and addressing your specific goals. The content reveals practical aspects of query tuning, data distribution, and resource management in cloud-based databases, providing a focused learning experience that keeps you ahead in this rapidly evolving field. By concentrating on your interests, this personalized guide helps you master query efficiency in complex cloud architectures with clarity and precision, ensuring relevance and depth.

Marek Kos draws on extensive experience managing diverse database systems to deliver a focused guide on database performance tuning that cuts through jargon to essentials. You learn how to optimize queries across major platforms like Oracle, MySQL, and MongoDB, with chapters dedicated to monitoring techniques and tuning strategies that address real challenges in environments from cloud computing to AI applications. This book suits database administrators sharpening their tuning skills, developers aiming to boost app responsiveness, and IT leaders seeking to improve infrastructure efficiency. It’s a solid technical reference that balances foundational principles with actionable insight, though those not involved with database operations might find the depth overwhelming.

After years working closely with data systems, Felicity Phillips distilled her deep technical knowledge into this focused guide on Amazon Redshift query performance. You’ll find clear explanations of Redshift architecture and how it impacts query bottlenecks, along with practical tools to identify and diagnose those slowdowns. For example, she breaks down queue configurations and data distribution strategies in accessible terms, making complex concepts manageable for both newcomers and experienced DBAs. If you manage Redshift environments or want to sharpen your troubleshooting skills, this concise report offers targeted insights without unnecessary jargon.

Malcolm Clements draws on his extensive IT experience with Amazon's RDS to dissect the root causes of slow query performance and how to address them effectively. You’ll gain a detailed understanding of RDS operations, performance metrics, and both manual and automated tuning strategies, all explained in accessible language. Chapters on real-world case studies and application design best practices provide concrete examples you can apply directly. This book suits professionals aiming to sharpen their database optimization skills and those managing enterprise data systems who need to diagnose and improve sluggish queries without wading through overly technical jargon.