Relational databases are great for tabular data, but they often struggle with complex, highly interconnected datasets involving multiple JOINs.
Nodes and Edges
Graph databases treat relationships as first-class citizens. Data is stored as Nodes (entities) and Edges (relationships), making traversal incredibly fast.
Use Cases for Graph DBs
Graph databases are ideal for recommendation engines, fraud detection, social networks, and knowledge graphs where the relationships are as important as the data itself.