A Hybrid Database Approach Using Graph and Relational Database
Harsha R. Vyawahare, Pravin Karde, Vilas M. Thakare · 2018
Database industry is recently facing a major challenge in gaining scalability and handling multiple databases in one application. Relational database is clearly a well known standard for storing, managing and querying information. It is used in variety of contexts including analytical querying and business intelligence. However, due to enormous growth in distributed databases and massive use of social networks, new requirements have emerged and graph-structured data is becoming more and more important. Graph database can store graph data more naturally. Relational databases and graph databases both have strengths and weaknesses depending on the characteristics of data and the types of queries to be evaluated. However benefits can be taken from mix of both by moderating some of the constraints. Thus propose a design of hybrid model such that the two models are integrated in one system to eliminate the limitations of individual systems. The hybrid system unifies the strengths of relational databases and graph databases by analyzing their strengths and weaknesses. This paper attempts to provide an overview of past investigation on the hybrid database model.