Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

Neo4j has introduced the Neo4j Virtual Graph, a new feature that allows enterprises to leverage graph intelligence without moving or duplicating data from existing data warehouses, lakehouses, and operational databases. This zero-copy architecture enables users to run Cypher queries and graph algorithms directly on data stored in platforms like Snowflake and Databricks, maintaining data governance while unlocking the power of Neo4j's AI-powered Graph Tools. Virtual Graph automatically generates a graph data model from existing tables, enabling graph reasoning necessary for complex queries that traditional flat table queries cannot handle, such as tracing customer relationships or supplier disruptions. It is designed for analytical workloads that can tolerate some latency, in contrast to native Neo4j graphs, which are optimized for low-latency, high-throughput operations. Neo4j Virtual Graph is available in private preview and aims to offer a seamless way for enterprises to test the value of graph patterns on their existing data without extensive setup or migration.