Graph Databases and DBMSs

Relationships in data often look far more like a web than an orderly set of rows and columns. Graph Database shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks.

The aim of this book is to compare graph databases to the main DBMSs to pinpoint the use cases it is more suitable for. In order to prove their effectiveness, a database using the same data set has been implemented both in Neo4j, the leading software using graph database technology, and SQL Server, the top-3 DBMS according to DB-Engines.

It illuminates the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications!