Analyzing millions of relationships and connections in a dataset with SQL is like trying to dribble through an entire defense line. Difficult, right? Thanks to graph database technology such as Neo4j, Tiger Graph, Amazon Neptune, Cosmos DB, Oracle and IBM, we can more easily visualize and analyze these complex structures.
Unlike SQL databases that work better with static data structures, a graph database is more dynamic. They are designed to manage changing requirements and focus on connections between entities.