Graphs are everywhere
Empower your data through relationships
Today's organizations store massive amounts of data. To move from data to insights, however, data can't be siloed. It needs to be connected to other data points, data sources, etc.
In relational databases, data is stored in fixed-format tables. Relationships are calculated each time a query is executed. This often makes investigating relationships in a relational database a slow and painful experience.
In graph databases, relationships are first class citizens! Nodes contain data, just like tables, but without the need for a fixed structure. Relationships between nodes are stored, which allows for lightning fast analysis over vast numbers and types of relationships.
Some use cases where graph database market leader Neo4j excels 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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