An Efficient Graph Database Model

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

Pemodelan Basis data Graph dengan Neo4j (Studi Kasus : Basis Data Sistem Informasi Penjualan pada UMKM)

“…[9]. Penelitian mengenai analisis penggunaan graph dilakukan [10], [11], [12], [13] Penelitian yang berhubungan dengan basis data graph terutama Neo4j diantaranya dilakukan Widyayanti [14], basis data Graph digunakan untuk penyimpan basis data hotel terutama pengelolaan kamar. Zhang [15], membuat studi kasus ini dengan menggunakan basis data grafik Neo4j; salah satu model data NoSQL, untuk membangun mini prototipe blog untuk melakukan rekomendasi sosial yang efisien.…”