Connect the Dots

Empower your data through relationships 

Today's organizations store massive amounts of data. To move from data to insights, however, data can't be in silos. It needs to be connected to other data points, data sources, etc. 

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Relational databases have been around for decades. Although they serve their purpose, they do have some constraints: data is stored in fixed-format tables, and relationships need to be calculated between primary and foreign keys, each time a query is executed. This makes investigating relationships in a relational database slow and expensive in resources

In graph databases, on the other hand, relationships are first class citizens. Nodes can have properties as key-value pair (eliminating the need for fixed formats, as in tables). Relationships between nodes are stored in the database, which allows for lightning fast analysis over vast numbers and types of relationships. 

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Some use cases where Neo4J, the graph database market leader, has proven to excel in are: 

  • Fraud detection
  • Real-time recommendation engines
  • Master data management (MDM)
  • Network and IT operations
  • Identity and access management (IAM)

 

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