(Graph Database: A Survey)

Abstract

The advantages of Relational Database Management System (RDBMS) model and design methodology are being utilized by industry/institutions for any software design and implementation. The future of RDBMS certainly will be the Graph Databases with NoSql methodologies, which is emerging as beyond of relational model. In this paper, there is a need to highlight all the databases evolved after RDBMS. They couldn't stay in market for so long period and survey has been made to highlight those databases after RDBMS. Relational Database Management System has certain advantages like (i) Storing in Tables, Column and Rows (ii) Data Storing in Normal Form (iii) Easy to use via SQL to retrieve information via complex join operators (iv) Maintainability via Reverse Engineering (v) Indexing and quick search. Due to these inherent features of RDBMS and SQL, it is necessary to explore and compare RDBMS with NoSQL methods to avoid complex join operation. Recently, numerous software industries and research institutions are trying their old RDBMS system to be re-engineered into some other architecture via nodes, edges and relationships where different type of information can be stored easily. So, it is a big challenges for any industry and institutions how quickly they can re-engineer their old RDBMS into Graph Databases which is also called now-a-days the future of databases. In this project, it is highlighted that the importance of the re-engineering work lies in three different directions such as (i) Comparison of RDBMS with GDBMS (Graph Database Management System) where face book, twitter, Amazon, Google are adopting (ii) Survey work of Graph Databases and (iii) Graph Database Models have increasingly become a topic of interest. The representation of data in the form of a graph lends itself well to structure a data with a schema. No standard system of query languages yet had been found to have been unique and stable for graph databases. Research and industry adoptions will determine the future direction of graph databases.(iv) Beyond RDBMS artifacts were established by industry and academics. It feeds a series of recycling collectives trying to eke out an existence of positive incentives and principles.