Case Study: University of Cincinnati achieves deeper relationship analysis and schema-evolution impact assessment with Neo4j

University of Cincinnati - Customer Case Study

Dippy Aggarwal, a Ph.D. candidate at the University of Cincinnati, needed a database that could capture complex relationships to study the impact of schema evolution in data warehouses. Because her work involves tightly coupled queries, ETL processes and schemas, a relational model proved inadequate for representing the interconnected domain and assessing downstream impacts.

She chose Neo4j for its maturity, active community and enterprise features, using its graph model, visualization tools and Java/REST drivers alongside relational inputs and Pentaho ETL workflows. Representing artifacts as nodes and relationships let her flatten heterogeneous data, reveal previously hidden dependencies, and perform more effective impact assessments — with additional support for scaling, clustering and Docker-based deployment.

University of Cincinnati

Dippy Aggarwal

Candidate