Oracle Graph with Autonomous Database enables you to create graphs from data in your Autonomous Database. With graphs you can 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. You can use graph
features to detect anomalous patterns, identify communities, and find new connections in
your data. Then, you can use graphs in your applications, for example, for fraud
detection in banking, improved traceability in smart manufacturing, building linked data
applications, and more; all while gaining enterprise-grade security, ease of data
ingestion, and support for a wide range of workloads.
Autonomous Database includes Graph
Studio, which automates graph data management and simplifies modeling, analysis, and
visualization across the graph analytics lifecycle. Autonomous Database includes all the graph capabilities from Oracle Database,
except the following:
When using RDF graphs, querying external data sources using SPARQL federated
queries is not supported.
About Oracle Graph Studio on Autonomous Database 🔗
Graph Studio allows you to work with the two
popular graph models, property graphs and RDF graphs.
Graph Studio features include automated modeling to create graphs from database tables,
an integrated notebook to run graph queries and analytics, and native graph and other
visualizations. You can easily create and manage either of the graph models. You can
validate the graphs by executing queries and exploring their properties.
Building Applications Using Graph
APIs with Autonomous Database 🔗
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.
RDF Graph: Using RDF Graph Server and Query UI you can
manage, store, query, and perform inferencing on RDF graphs in Autonomous Database. 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.