Learning Graph Databases: Neo4j an overview

Abstract

As the internet is growing day by day, the amount of data being generated is huge. This data includes structured data and unstructured data. The data along with its relationship with other data makes the most powerful and meaningful information. Maximum data exists in the form of the relationship between different or same objects and the noticeable thing is the relationship between the data is more important than the data itself. These relationships are handled efficiently by Relational databases that store data having structures and which have several records. The important point to be noted here is that these Relational database management Systems use tables with normalization concept. If the amount of data in such tables is huge, then handling such a large amount of data with its relationships is a tedious task. Here, Graph Databases come into picture. Entities and their relationships in relational databases will be reflected with nodes and relationships in graph databases. Graph databases provide very simple data model than databases with Online Transaction Processing systems. Graph databases provide features such as transactional integrity and operational availability. This paper introduces the idea of graph database systems in conjunction with Neo4j encompassing its query features, consistency, transactions, availability, and scaling.