Neo4j Graph Analytics for Snowflake
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Analyze hidden connections in your Snowflake data to reveal fraudulent entities, product recommendations, and patient path correlations. Run powerful graph algorithms and write results back to Snowflake, all through a familiar SQL interface.
Now Available on Snowflake Marketplace
Discover Fraudulent Communities in Financial Services Data
Graph-powered community detection reveals hidden fraud networks within peer-to-peer transactions that traditional methods miss, enabling financial institutions to protect customers from the rising tide of P2P scams.
Identify Bottlenecks and Model Disruption
Create a graph based digital twin of the NYC subway, identify critical stations using shortest path algorithms, and simulate how closures disrupt the entire network using Graph Analytics for Snowflake.
Manage Risk with Digital Twin in Manufacturing Data
Build a Digital Twin from manufacturing data to map asset relationships and dependencies. Analyze connectivity to predict failure and optimize factory uptime using Graph Analytics for Snowflake.
Identify Similar Patient Journeys in Healthcare Data
Apply advanced graph algorithms to find patterns and commonalities across patient records. Improve care pathways and outcomes with deeper relational analysis of healthcare data.
See Graph Analytics in Action
Uncover hidden connections in your Snowflake data using familiar SQL. Run powerful graph algorithms with serverless, elastic compute that scales to meet your largest datasets effortlessly.