Graph Databases — Neo4j and Beyond

Try answering this question with a relational database: "Find all people who are friends with someone who bought a product in a category that my friends also like, within two degrees of connection."

In SQL, that's six or seven JOIN operations, nested subqueries, and a query that takes minutes to execute on any meaningful dataset. The query planner chokes because relational databases are optimized for finding rows, not traversing relationships.

Now try the same question in a graph database. It's a four-line query that returns in milliseconds. Because graph databases are built from the ground up to traverse relationships — and when relationships are your primary concern, nothing else comes close.

How Graph Databases Think

A graph database stores two things: nodes (entities) a