Neo4j

SQL-powered Graph Analytics: Finds Answers SQL Alone Cant - 30 Day Free Trial Neo4j Graph Analytics for Snowflake enables data teams to uncover complex relationships and hidden patterns directly in their Snowflake data. Use familiar SQL to model connected data, run graph analytics at scale, and write results back to Snowflake tables—revealing fraud rings, entity duplication, customer journeys, product affinities, and other relationship-driven insights that traditional analytics miss. Built as a native Snowflake application and powered by Neo4j’s proven graph analytics engine, it runs entirely in your Snowflake account using Snowpark Container Services .

All in Snowflake SQL Just deeper insight from the data you already have. How It Works Native Experience. Familiar SQL.

Fully in Snowflake. Zero-ETL Architecture: Analyze connected data in place—no complex pipelines, duplication, or external systems. Fast & Scalable: Parallel, in-memory execution is designed for better performance at a lower cost for large datasets and production workloads.

Advanced Graph Analytics: 65+ algorithms for centrality, community detection, similarity, pathfinding, and graph machine learning using the python runtime on GPU. Graph Agent for Snowflake Intelligence (Preview): helps you get started with our api by selecting and running your first algorithms Estimate (Preview): picks the right size of the instance required for the analytic job. Resources Helpful Links & Learning Materials Getting Started and Use Case Video Series Neo4j Graph Analytics for Snowflake manual Neo4j and Snowflake Page Snowflake Quickstart Guides , search for “Neo4j” Pricing Transparent Pay-As-You-Go Pricing Neo4j Graph Analytics has no pre-commit, you pay only for what you consume.

Click See Pricing below for examples which are correct as of 15th of May 2025.