Relational Database VS Graph Database
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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 |
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