Neo4J and MongoDB were evaluated for performance on social networking metrics. Network closure and assortativity had higher throughput than distance in Neo4J, since distance requires graph traversal while the others only require lookups. Embedded Java API outperformed other access methods due to eliminating network overhead. MongoDB was 10-100x slower than Neo4J RESTful and embedded versions for distance metric, which requires many index lookups that MongoDB handles less efficiently than Neo4J's relationship expander. Future work includes integrating social metrics into benchmark frameworks to better evaluate databases for complex graph operations.