8 New NoSQL Books Reshaping Data Management in 2025

When Badal Tripathy first explored MongoDB, he saw beyond just another database technology; he recognized a shifting paradigm in how data can be stored and accessed. This book methodically breaks down MongoDB's core capabilities—from flexible schema design to scaling strategies—while also diving into specialized topics like geospatial queries and IoT integration. You'll gain a clear understanding of both foundational concepts and advanced techniques, making it suited for developers eager to deepen their practical expertise or transition into NoSQL environments. If you're looking for a well-rounded resource that balances theory with hands-on applications, this guide provides a solid pathway without overcomplicating the subject.

After years developing scalable cloud solutions at AWS, Aman Dhingra and Mike Mackay crafted this guide to demystify Amazon DynamoDB for professionals navigating the shift from relational databases to NoSQL. You’ll learn specifics like vertical partitioning for efficient data access, managing capacity modes to balance performance and cost, and leveraging DynamoDB Accelerator (DAX) to enhance caching. The book dives into integrating DynamoDB with AWS analytics services, helping you build resilient, low-latency systems. If you’re involved in designing or managing data architectures—especially in cloud environments—this book gives you the detailed technical insights to optimize your DynamoDB implementations.

This tailored book explores the evolving landscape of NoSQL database design and application with a focus on your personal interests and goals. It examines the latest developments and cutting-edge insights emerging in 2025, guiding you through the nuances of schema flexibility, scalability, and cloud integrations specific to your background. By concentrating on your unique challenges, this personalized guide reveals how new discoveries influence NoSQL practices, helping you stay ahead in a rapidly changing environment. Through targeted exploration, it covers how to apply these emerging concepts effectively, ensuring your learning matches what matters most to you in mastering NoSQL technologies.

Drawing from his Ph.D. research and extensive experience in database systems, Michael E Kirshteyn offers a detailed examination of NoSQL database design focused on scalability, performance, and flexibility. You’ll gain insights into the architectural choices behind popular NoSQL platforms like MongoDB and Cassandra, and understand how to tailor design strategies for distributed systems and real-time analytics. The book’s exploration of consistency, availability, and partition tolerance challenges equips you to make informed decisions for diverse applications, from mobile to IoT. This guide suits both newcomers wanting a solid foundation and seasoned practitioners seeking to refine their approach to modern data system design.

After years immersed in Java and cloud technologies, Otávio Santana developed this guide to bridge the gap between Java persistence and NoSQL databases. You learn to navigate NoSQL concepts, select appropriate databases, and apply Java design patterns integrating these systems into enterprise architectures. For example, chapters on Redis, Cassandra, and MongoDB show practical integration techniques, while Jakarta EE coverage reveals modern Java frameworks for persistence. This book suits experienced Java developers and architects aiming to modernize data handling with NoSQL, not beginners or those outside the Java ecosystem.

Marko Aleksendrić brings over two decades of development and analytics experience to this detailed exploration of MongoDB 7.0, reflecting his deep involvement with the database for 15 years. You’ll learn to execute complex queries, master aggregation pipelines, and leverage multi-document ACID transactions alongside advanced indexing strategies for performance tuning. The book also dives into MongoDB Atlas features like Vector Search and Atlas Search, essential for building scalable, AI-powered applications. Geared toward intermediate developers and database administrators, it equips you with skills to build secure, high-performing applications and manage data with robust auditing and encryption methods.

This personalized book explores the forefront of NoSQL database development tailored to your specific background and interests. It examines cutting-edge advancements projected for 2025, revealing how emerging technologies and architectural patterns can build scalable, future-ready NoSQL systems. You’ll delve into new discoveries shaping database flexibility, performance, and resilience, matching your goals to create a focused learning experience. By concentrating on topics that matter most to you, this tailored guide offers a deep dive into the evolving landscape of NoSQL, helping you understand how to prepare databases for tomorrow’s complex demands. It’s a unique opportunity to engage with the latest knowledge relevant to your ambitions in data management.

When Kameron Hussain first realized the growing importance of NoSQL databases, he set out to create a resource that bridges foundational knowledge with advanced MongoDB techniques. This book guides you through MongoDB's architecture, data modeling, query optimization, and security, with concrete examples in multiple programming languages. It’s designed for IT professionals and developers eager to build scalable, secure, high-performance NoSQL applications. You’ll find chapters dedicated to scaling strategies and replication that prepare you for production challenges, making it a practical tool whether you're new to NoSQL or refining your expertise.

Sudaney Cehenar, a seasoned software developer and mentor, wrote this guide to address the challenges beginners face in full-stack development using Node.js, Express, and MongoDB. You’ll gain a clear understanding of how to set up your environment, manage data with MongoDB’s NoSQL approach, and optimize server-side applications with Express. The book walks you through foundational concepts and practical projects, including deploying applications in the cloud, making it ideal if you want to build scalable web apps from scratch. If you’re new to these technologies and eager to get hands-on skills without getting overwhelmed, this book offers a straightforward path.

After analyzing the comparative performance and characteristics of relational and non-relational databases, Andre Eduardo Menegasso developed a concise study focusing on MySql and MongoDB. He explores foundational concepts and the evolution of these database management systems, providing an experimental approach to highlight their distinct features. You will gain clear insights into when and why to choose one system over the other based on practical criteria such as functionality and performance. This book suits software developers, database administrators, and tech professionals looking to deepen their understanding of database selection and optimization in modern applications.