Oracle Cloud Infrastructure Documentation

Use Oracle Graph with Autonomous Database on Dedicated Exadata Infrastructure

Oracle Graph enables you to create graphs from data in an Autonomous Database on Dedicated Exadata Infrastructure. Graphs let you analyze your data based on connections and relationships between data entities.

As an Analyst or a Developer, you can use:
  • Graph Algorithms and Graph Pattern Queries for ranking, clustering, and path analysis in a graph model of your data.
  • Graph Features to detect anomalous patterns, identify communities, and find new connections in your data.

You can use graphs in your applications for fraud detection in banking, improved traceability in smart manufacturing, building linked data applications, and more. All these can be achieved along with enterprise-grade security, ease of data ingestion, and support for a wide range of workloads.

A Autonomous Database on Dedicated Exadata Infrastructure deployment includes all the graph capabilities from Oracle Database.

  • Build Applications Using Graph APIs
    If you are developing an application using graphs, you can also access Property Graph APIs and RDF Graph APIs with Autonomous Database without Graph Studio.

Parent topic: Features for Experienced Database Users

Build Applications Using Graph APIs

If you are developing an application using graphs, you can also access Property Graph APIs and RDF Graph APIs with Autonomous Database without Graph Studio.

  • Property Graph: Create and work with Property Graphs with Python and Java developer APIs and the Property Graph Query Language (PGQL). You can use developer APIs to create a graph, run graph queries, and execute graph algorithms.

    You can use these APIs by deploying Oracle Graph Server and Client from OCI Marketplace.

    See Oracle Database Graph for more information.

  • RDF Graph: You can manage, store, query, and perform inferencing on RDF graphs in Autonomous Database. Some of the key features are:
    • RDF Graph Server and Query UI: You can use a REST API, a SPARQL endpoint, a web UI to run SPARQL queries, and developer APIs for advanced RDF graph data management operations.
    • SPARQL in SQL API for integrating SPARQL and SQL queries.
    • SPARQL Editor for SQL Developer Desktop.
    • Adapter for Apache Jena.
    • Adapter for Eclipse RDF4J.

    See Graph Developer's Guide for RDF Graph for more details.