Neo4j Virtual Graph is now in public preview
Blog post from Neo4j
Neo4j Virtual Graph, now in public preview, offers a zero-copy architecture that enables enterprises to transform existing data in warehouses like Snowflake, Databricks, and Google BigQuery into knowledge graphs without moving the data. This innovation allows users to leverage the power of knowledge graphs, which capture complex relationships better than flat retrieval methods, for tasks like agent workflows, batch enrichment, and analyst exploration. Users can generate a graph model using AI tools, adjust it, and execute Cypher queries, which are translated into optimized SQL, maintaining data governance and performance predictability. Virtual Graph serves workloads that can manage warehouse-grade latency, while native Neo4j is recommended for operations requiring millisecond response times. The public preview is free, with billing starting in September, and future developments include the ability to materialize virtual graphs into native Neo4j, federated queries, and support for additional data sources.
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