Relational databases have been widely used in many applications until today and they have met needs for data-intensive domains and transactions, but today data is growing faster than ever and extracting information from this huge data is becoming more challenging. Growing size of data and number of connections between data items reduces performance because relational databases use many complex join operations to query and access data. As a solution, graph database store these connections between entities and provide traversing connections fast and easily and accessing data efficiently. This article reports on our experience of migration of document-based, parent-child hierarchical data from relational database to graph database. It also reports comparison of data access processes and performance between relational database and graph database.