Choosing a graph database for a particular application depends on several factors, including the complexity of data relationships, scalability requirements, performance needs, and functionalities ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Neo4j is one such database. It’s open source, uses an SQL-like query language, follows the Property Graph Data Model and supports indexes, UNIQUE constraints and full ACID rules.