In this article, you will see a comparison between a graph database and a relational database

	Graph Database	Relational Database
Format	Nodes and edges	Rows and columns
Relationships	Represented by text on edges between nodes	Related across tables, established using foreign keys between tables
Complex queries	Run quickly and don’t require joins	Require complex joins between the tables
Schema	Does not have a predefined schema	Uses a predefined schema
Query Language	Structured Query Language (SQL)	Graph Query Language ( Gremlin, Cypher)
Performance	Faster because of indexing	Relatively slower
Top use cases	Relationship- heavy use cases, including fraud detection and recommendation engines	Transaction focused use cases, including online transactions and accounting
Example	Neo4j, ArangoDB, Amazon Neptune	SQL, Oracle, Mysql
Structure