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Oracle as a Property Graph

Oracle as a Property Graph

As part of the Converged Oracle Database, you have a scalable property graph database; a powerful in-memory analyst with 50 built-in, parallel analytic functions; and a graph query language and developer APIs. Graph algorithms enable you to explore and discover relationships in social networks, IoT, big data, data warehouses and complex transaction data for applications such as fraud detection in banking, customer 360, and smart manufacturing.

What’s New in Property Graph

Video: Paysafe Accelerates Fraud Detection with Oracle

Data Sheet: Graph Technology at Oracle (PDF)

Data Sheet: Graph Technology at Oracle (PDF)

Oracle Graph Server and Client

Oracle Graph Server and Client

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Property Graph Features

Massively scalable graph database

Oracle Database provides a graph database that scales securely to trillions of edges.

Powerful in memory, built-in graph analytics

A powerful in-memory analyst includes 50 built-in, parallel analytic functions, to perform ranking, centrality, recommendation, community detection, path finding, and more. This provides highly scalable, fast query execution, and greatly reduces development effort and risk.

Ease of development

SQL-like graph query language and popular development APIs and frameworks such as SQL, Java, and REST make it easy for developers to add graph analytics to applications.

Explore and discover relationships in your data

Graph analytics yield insights into your big data not possible with relational models. With Oracle Database, you can explore and discover relationships in social networks, IoT, big data, data warehouses and complex transaction data for applications such as fraud detection in banking, customer 360, and smart manufacturing.