Public Preview: Persistent Graph Semantics

Azure Data Explorer now offers Persistent Graphs in public preview, enabling durable graph data structures that persist beyond individual query executions for enterprise-scale relationship analysis. Unlike transient Graphs which exist only in memory during a query session, persistent graphs provide reusable database objects that remain available for repeated analysis through their two main components: Graph Models (defining structure and data mappings) and Graph Snapshots (materialized instances at specific points in time).  

Persistent graphs deliver substantial benefits for organizations needing to analyze complex relationships at scale, handling massive datasets while eliminating construction latency through pre-built snapshots. They enhance team collaboration by providing consistent data views across the organization without requiring constant rebuilding, support advanced analytics including historical analysis and version comparisons, and integrate seamlessly with the Azure Data Explorer ecosystem through native KQL graph operators—making them ideal for scenarios ranging from IoT network analysis to security investigations, business process optimization, and organizational structure analysis.  

Learn more:  

• About fundamental concepts in the Graph semantics overview.  
• Discover persistent Graph management capabilities in our documentation.  
• For implementation guidance, explore the comprehensive getting started guide or explore our best practices.