Exploring Graph Databases: Applications and Considerations

This chapter examines the diverse applications of graph databases in industries like finance and healthcare, focusing on their role in fraud detection and real-time analysis. It covers the challenges of transitioning from traditional SQL databases, vendor selection criteria, and the architectural implications of choosing graph databases for various applications. Additionally, it discusses methodologies and algorithms used in graph databases, including PageRank and clustering techniques for pattern identification.