Open AccessAn Efficient Graph Database Model
Author(s) -
Harsha R. Vyawahare,
Dr Pravin P. Karde,
Dr Vilas M. Thakare
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7805.0881019
Subject(s) - graph database , computer science , relational database , scalability , database model , relational model , database design , semi structured model , database , database schema , graph , wait for graph , view , relational database management system , schema (genetic algorithms) , sql , information retrieval , theoretical computer science
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