8 Best-Selling Neo4j Books Millions Trust

Aleksa Vukotic and his co-authors bring a wealth of real-world experience to this detailed exploration of Neo4j’s capabilities. The methods they developed while architecting graph data models for complex access control and recommendation engines give you practical insights into modeling highly connected data. You’ll learn how to leverage Neo4j’s native Java APIs and Cypher query language, with clear examples ranging from social network data patterns to Spring Data integration. This book suits application developers and software architects ready to deepen their understanding of graph databases and implement Neo4j in production environments.

Gregory Jordan offers a clear path into the world of graph databases with Practical Neo4j, drawing on his deep experience to make this complex topic accessible. You’ll learn how data modeling with Neo4j can handle projects ranging from social networks to recommendation engines, with detailed guidance on configuration and data import techniques. The book dives into practical language integrations like Java and Python, giving you concrete tools to build real applications. If you’re involved in managing highly connected data or exploring new database architectures, this book guides you through mastering Neo4j’s speed and flexibility without unnecessary jargon.

This tailored book explores advanced Neo4j techniques designed to match your unique data challenges and experience level. It covers essential graph modeling concepts while diving into powerful query optimization, performance tuning, and data integration methods that align with your specific interests. By focusing on your background and goals, the book reveals how to harness Neo4j’s capabilities in real-world contexts, making complex graph database topics accessible and relevant. Combining proven knowledge with your personalized learning path, it encourages deeper understanding and practical application that resonates with your needs. This personalized approach ensures you engage directly with topics that matter most to your Neo4j mastery journey.

Sonal Raj brings her deep technical expertise to this focused guide on optimizing Neo4j graph databases. The book walks you through designing scalable graph architectures, managing database performance, and administering complex data structures. You'll find clear explanations on tuning queries and configuring Neo4j environments for maximum efficiency, with practical insights that both beginners and advanced users can appreciate. This is ideal if you want to harness graph databases for high-performance applications without getting lost in overly technical jargon or superficial overviews.

After analyzing numerous Neo4j use cases, Ankur Goel developed a collection of 75 practical recipes designed to help you dive deep into graph database capabilities. This book guides you through accessing Neo4j from popular programming languages like Java and Python, migrating data from SQL and NoSQL sources, and applying data modeling best practices. You’ll also explore handling social and geospatial data, plus scaling Neo4j for large datasets with millions or even billions of nodes. If you’re already familiar with Neo4j or planning to migrate to it, this book offers concrete examples and code samples that clarify complex concepts without unnecessary jargon.

Mahesh Lal's experience with Neo4j shines through in this focused guide that breaks down the essentials of graph data modeling. You’ll learn how to structure data effectively within Neo4j to build comprehensive applications, even if you're just getting comfortable with domain modeling concepts. The book walks you through practical examples that clarify how relationships and nodes work together, making it easier to visualize complex data. This approach benefits developers eager to harness Neo4j's power without wading through overwhelming theory, offering a clear path to applying graph databases in real projects.

This tailored Neo4j book offers a unique learning journey designed to focus on your interests and match your background in graph database technology. It explores foundational concepts of Neo4j while diving into practical topics such as Cypher queries, graph modeling, and performance tuning, all aligned with your specific goals. By weaving together insights valued by millions, it creates a personalized path that rapidly builds your skills through clear, focused steps. This approach ensures you engage deeply with the content that matters most to you, making complex graph database concepts accessible and relevant. The book reveals how to apply Neo4j effectively in real-world scenarios, enhancing your confidence and expertise.

Chris Kemper brings his practical industry experience to this introduction to graph databases, focused specifically on Neo4j. You’ll progress from installing Neo4j to building applications that leverage relationships, recommendations, and shortest path calculations, guided by concrete examples and data models. The book breaks down complex concepts so you can understand how Neo4j powers social media and e-commerce platforms. If you’re new to graph databases or want a hands-on approach to Neo4j’s capabilities, this book offers a solid start without overwhelming jargon or abstraction.

Jérôme Baton draws on his extensive programming and consulting background to guide you through the nuances of Neo4j graph databases. You’ll explore graph theory fundamentals, data modeling tailored for graph structures, and the Cypher language to query complex datasets effectively. The book also dives into using APOC procedures and Neo4j extensions for advanced analysis and performance tuning, including scaling and security features. If you’re aiming to build spatial applications or extract deeper insights from connected data, this book provides practical examples and clear explanations to get you there.

During his exploration of graph database systems, Rik Van Bruggen found a focused approach to demystifying Neo4j’s capabilities for developers. You learn to install Neo4j across platforms, model complex data relationships, and run optimized queries that reveal insights traditional databases might miss. The book carefully walks you through use cases and practical examples, such as analyzing system process impacts and graph visualization techniques. If you want to understand when and why a graph database fits your application better than relational models, this book offers concrete steps and explanations without assuming prior experience with graph databases.