Improving Performance using Relational and Graph Database
Harsha R. Vyawahare1, Pravin P. Karde2, Vilas M. Thakare3 

1Harsha R. Vyawahare, PG Department of Computer Science, SGBAU, Amravati, Amravati, India.
2Dr Pravin P. Karde, Department of Information Technology, Government Polytechnic, Amravati, India.
3Dr Vilas M. Thakare, PG Department of Computer Science, SGBAU, Amravati, Amravati, India.

Manuscript received on 11 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 1722-1726 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1862078219/19©BEIESP | DOI: 10.35940/ijrte.B1862.078219
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Abstract: Paper Relational database model (also called SQL databases) are one of the prevalent databases that are used with structured data. Currently news demands are arising owing to the magnitude with which the internet and social networks are getting used which brought importance to graph-structured data. Graph database (a nosql database) deal more naturally with highly connected data and are thus becoming popular and efficient choice. Due to limitations faced by relational databases in handling relationships (highly connected data), enterprise information systems find graph database as a promising alternative. According to the form of queries and property of data both relational and graph databases have vitality and flaws. Since most of the data is available in relational schema in this context, the conversion of an application from a relational to a graph format is very beneficial. Thus, this paper develops a dual database system through migration, which unifies the strengths of both relational databases and graph databases. Experimental results have shown that, this hybrid system has efficient performance.
Index Terms: Graph Database, Nosql Database, Relational Database, SQL Databases.

Scope of the Article: Database Theory and Application