Why do Enterprises Need a Graph Database?

Why do Enterprises Need a Graph Database?

Today’s CIOs and CTOs don’t just need to manage larger volumes of data – they need to generate insight from their existing data. In this case, the relationships between data points matter more than the individual points themselves.

In order to leverage data relationships, organizations need a database technology that stores relationship information as a first-class entity. That technology is a graph database.

Ironically, legacy relational database management systems (RDBMS) are poor at handling data relationships. Their rigid schemas make it difficult to add different connections or adapt to new business requirements.

Not only do graph databases effectively store data relationships; they’re also flexible when expanding a data model or conforming to changing business needs.

What Are the Advantages of Using a Graph Database?

Tech giants like Google, Facebook, LinkedIn and PayPal all tapped into the power of graph databases to create booming businesses. Their secret? They each used graph database technology to harness the power of data connections.

A graph database is purpose-built to handle highly connected data, and the increase in the volume and connectedness of today’s data presents a tremendous opportunity for sustained competitive advantage.

Graph databases have three other key advantages:

Performance

For intensive data relationship handling, graph databases improve performance by several orders of magnitude. With traditional databases, relationship queries will come to a grinding halt as the number and depth of relationships increase. In contrast, graph database performance stays constant even as your data grows year over year.

Flexibility

With graph databases, IT and data architect teams move at the speed of business because the structure and schema of a graph model flexes as applications and industries change. Rather than exhaustively modeling a domain ahead of time, data teams can add to the existing graph structure without endangering current functionality.

Agility

 

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