Needs for Graph Database: We are living in the era of data, data is treated more precise than gold and platinum. Most of the enterprises are trying to get more insight about the data they have it as an operational / warehouse / analytical. Ref.: https://dist.neo4j.com/wp-content/uploads/graph-example.png To get more insight into the data, it is required to see the relationship among the data points. The challenge is how to establish the relationship among data points and the answers is Graph database. Relational databases can't help to establish the relationship among data points, due to their rigid schema, and consistent schema. Relational Database issues for data set: Number of Joins: While fetching data from relational databases, we join many tables, these joins are complex, and consume considerable amount of computing resources, which increase the query response times. Self- joins: For database ware house / business intelligence systems using RDBMS, self-JOIN are common for
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