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: