An Efficient Graph Database Model
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 03 July 2019 | Revised Manuscript received on 08 July 2019 | Manuscript published on 30 August 2019 | PP: 1292-1295 | Volume-8 Issue-10, August 2019 | Retrieval Number: I7805078919/2019©BEIESP | DOI: 10.35940/ijitee.I7805.0881019
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Abstract: Relational databases are holding the maximum amount of data underpinning the web. They show excellent record of convenience and efficiency in repository, optimized query execution, scalability, security and accuracy. Recently graph databases are seen as an good replacement for relational database. When compared to the relational data model, graph data model is more vivid, strong and data expressed in it models relationships among data properly. An important requirement is to increase the vast quantities of data stored in RDB into web. In this situation, migration from relational to graph format is very advantageous. Both databases have advantages and limitations depending on the form of queries. Thus, this paper converts relational to graph database by utilizing the schema in order to develop a dual database system through migration, which merges the capability of both relational db and graph db. The experimental results are provided to demonstrate the practicability of the method and query response time over the target database. The proposed concept is proved by implementing it on MySQL and Neo4j.
Keywords: Graph Database, Migration, Neo4j, Relational Database.
Scope of the Article: Graph Algorithms and Graph Drawing