A Methodological Approach For Converting Relational To Graph Databases

Abstract

Graph databases are better for data containing many relationships, and are most common with social networks and similar information systems. Many systems that would benefit from using graph databases do not utilize them. This paper aims to increase their adoption rate by streamlining the migration process. The main question answered in this paper is which steps should be taken to reliably and consistently transfer data from a relational DBMS (DataBase Management System) to a graph DBMS. A demonstration of the transfer is provided, along with a comparison between queries in the two environments. Microsoft Access is used to manage the relational database, while Neo4j and the Cypher query language are used for the graph database. The approach can be used by institutions and companies to make their information systems better suited to their work areas.