Graph databases are well-suited for storing and querying multi-relational data. They provide better performance, flexibility, and agility than relational databases for such data. Tests showed graph databases like Neo4j outperforming relational databases by returning results faster and for more records as depth and complexity of queries increased. Cypher is the query language for Neo4j that allows starting queries, matching patterns, returning and filtering results through clauses like START, MATCH, RETURN, and WHERE. Graph databases are used successfully by many large companies needing to handle complex relationships in data.