"EdgeDB in Depth" "EdgeDB in Depth" offers a comprehensive exploration of EdgeDB, the innovative object-relational database reshaping how developers model, query, and manage data. This authoritative guide provides readers with a solid foundation, tracing EdgeDB's evolution from traditional relational databases and detailing its architecture, core concepts, and place within today's data ecosystem. Through practical comparisons with PostgreSQL and graph databases, as well as an honest discussion of design trade-offs and limitations, the book equips readers with the context needed to make informed architectural decisions. Delving deeper, the book delivers hands-on instruction in data modeling, schema design, and the use of EdgeQL, EdgeDB's powerful query language. Readers learn advanced relationship modeling, declarative schema techniques, and best practices for managing schema evolution, versioning, and migrations. The in-depth coverage extends to application integration through official drivers, code generation, dynamic type systems, and integration with popular frameworks such as FastAPI, Django, and Next.js. Comprehensive chapters on performance engineering, security, compliance, deployment automation, and high availability address the needs of teams operating at scale. Finally, "EdgeDB in Depth" ventures into distributed systems, cloud-native deployments, and advanced use cases including microservices, machine learning, and event-driven architectures. It surveys the growing EdgeDB tooling ecosystem, showcases real-world case studies, and highlights governance and community contributions. With an outlook toward future developments and open research areas, this book is an indispensable resource for engineers, architects, and technology leaders seeking to master EdgeDB and harness its full potential for modern application development.