Neo4j Graph Analytics

Neo4j Graph Analytics for Snowflake is a native app that enables data analysts to build powerful graph analytical applications using Streamlit or reports to solve customer segmentation, fraud detection, product recommendations, and patient journey. The application includes algorithms that can detect communities of nodes (Weakly Connected Components, Louvain, Leiden), find the shortest path between nodes (k-shortest path) or find similar nodes (Node Similarity) which are well suited to solving these problems.

Analysts can use SQL to project data from tables and views into a serverless session within Snowflake Container Services (SPCS). They can then run graph algorithms and write the results back to a Snowflake table using SQL.

**Expected Workflow**

Graph Analytics for Snowflake is currently in preview and only available on AWS

1. We will publish the application to you.
2. We ask that you complete the following [questionnaire](https://forms.gle/P2Fmz78VzRvrvQUV9) (optional).
3. We'll be in touch to schedule a 45 min meeting (optional).
4. Once the application is available to you, please refer to the 'About app' for information on how to use it this includes configuring priviledges and roles, syntax and general usage guidelines and examples.

Full details of currently supported Graph Algorithms available in the 'About app'.

**Account level and Reference Privileges**

Account level: CREATE COMPUTE POOL and CREATE WAREHOUSE

No reference privileges are required.

**Preview**

During the preview, the application has a nominal surcharge of $0.01 to use the Graph Analytic algorithms on top of the Snowflake Credits required for running sessions on SPCS - this includes projection, algorithm run time, idle time and writing results back to Snowflake. Neo4j invites customers to provide feedback on the features and capabilities of Preview version.

**Generally Availability**

Once generally available, customers will pay a surcharge for sessions capable of running Graph Algorithms provided by Neo4j - this includes projection, algorithm run time, idle time and writing results back to Snowflake.

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