Oracle Spatial and Graph in Oracle Database 19C: Graph Features

Oracle Spatial and Graph in Oracle Database 19c: Graph Features

• Oracle Database supports multiple models – Relational, In-memory, Sharded – Document Store • JSON • XML • Text • OLAP – Spatial Database – Graph Database and Triple Store

• Oracle Database support multiple languages and access protocols

• Which supplier am I most dependent upon? Who is the most influential customer? Do my products appeal to certain communities? What patterns are there in fraudulent behavior?

Spatial Property Graph RDF Graph

Rich set of built-in parallel graph algorithms … and parallel graph mutation operations

a Detecting Components Ranking and Walking The original graph and Communities a f d d Pagerank, Personalized Pagerank, Left Set: “a,b,e” a Tarjan’s, Kosaraju’s, Betwenness Centrality (w/ variants), b g f g Weakly Connected Closeness Centrality, Degree d b e Components, Label Centrality, e h Propagation (w/ variants), Eigenvector Centrality, HITS, i g c i Soman and Narang’s Random walking and sampling (w/ b e Spacification variants) c h Create Undirected i Create Bipartite c Graph Evaluating Community Path-Finding Graph Structures a Hop-Distance (BFS) Conductance, d Sort-By-Degree (Renumbering) f Modularity Dijkstra’s, g d Clustering Coefficient Bi-directional Dijkstra’s Bellman-Ford’s b e g ∑ ∑ (Triangle Counting) Adamic-Adar b e i e b d i a f c g h h Link Prediction Other Classics c i SALSA Vertex Cover (Twitter’s Who-to-follow) Minimum Spanning-Tree Filtered Simplify Graph (Prim’s) Subgraph

Spatial Property Graph RDF Graph

Copyright © 2019, Oracle and/or its affiliates. All rights reserved. 8 RDF for Knowledge Graph, Linked-Data and Semantic Data Integration W3C Standards Languages, Tools, and APIs Enterprise Database • Native support for W3C • SQL query support • Scalable to over 54 billion standards for semantic data, triples, up to 8 PB • ontologies and inferencing SPARQL query language SPARQL/update, SPARQL • Fine-grained Security • RDF and RDB2RDF endpoint • RDF Views on relational tables • Inferencing with RDFS, OWL, • Ontology-assisted query using and Property Graphs SKOS, and user-defined rules SQL • Supports Property Graph • OGC GeoSPARQL support • Java APIs via Jena, Joseki and analysis on RDF data Sesame • Compressed, partitioned • Protégé ontology editing storage • Cytoscape visualization plug-in • Multitenant database support

Copyright © 2019, Oracle and/or its affiliates. All rights reserved. Major New Graph Features • SQL Developer for RDF • Data Vault support and Schema-private networks in RDF • Property Graph Query Language (PGQL) for in-memory and in-database Property Graphs • New Property Graph in-memory analytics: Personalized SALSA, K-Core, Approximate and Weighted Pagerank • Property Graph Views on RDF Graphs • RDF Views on Property Graphs

Copyright © 2019, Oracle and/or its affiliates. All rights reserved. 11 Summary By treating spatial and graph data the same as other business data, Oracle Spatial and Graph enables enterprises to realize these benefits: • Integrate analysis in the IT infrastructure • Reduce operational costs • Minimize strategic risk • Reduce development effort

Product homepage: oracle.com/database/technologies/spatialandgraph.html – Blog: blogs.oracle.com/oraclespatial – Forum: community.oracle.com/community/groundbreakers/database/ oracle-database-options/rdf_semantic_graph – Oracle Spatial and Graph Group: linkedin.com/groups/1848520/ – YouTube Channel: youtube.com/c/OracleSpatialandGraph – Twitter: @SpatialHannes