Neo4j Virtual Graph- Cypher to SQL transpiler
- From: Saqib Ali | Date: Sat, 30 May 2026 00:13:56 +0000 #
Subject: Neo4j Virtual Graph- Cypher to SQL transpilerNeo4j has launched a Cypher to SQL transpiler for SQL based Lakehouses like Snowflake and Databricks. https://neo4j.com/blog/graph-database/introducing-neo4j-virtual-graph-graph-reasoning-on-the-data-you-already-have/- |-- ReplyFrom: Jihoo Park | Date: Fri, 24 Jul 2026 21:36:59 +0000 #Neo4j Virtual Graph is now available in public preview: https://neo4j.com/blog/auradb/neo4j-virtual-graph-is-now-in-public-preview/ Neo4j Virtual Graph lets organizations query and analyze relational data as a graph without copying or moving it from existing data warehouses and databases. It automatically infers a graph model from relational schemas and translates Cypher queries into optimized SQL, enabling graph-based reasoning while preserving existing data governance and storage. This zero-copy approach is well suited to analytical and AI-driven use cases such as GraphRAG and knowledge discovery, where relationship-focused insights matter more than real-time transactional performance. For operational workloads that require low-latency traversals and transactional guarantees, Neo4j still recommends using a native graph database alongside Virtual Graph.
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