Neo4j Graph Analytics for Snowflake
Find Deeper Insights in Your Snowflake Data —
No ETL Required
Run 65+ ready-to-use graph algorithms directly on your Snowflake tables. Boost model accuracy by 50-80%, speed time to insight, and enjoy serverless, elastic analytics.
Deeper Insights
100% more efficacy in finding new insights from any data source.
Eliminate ETL
Run algorithms and write results directly in Snowflake.
Stay in SQL
Use powerful graph algorithms with simple SQL statements.
Pay as You Go
Only pay for what you use. No contracts, no commitment.
Detect Fraud Faster with Graph Analytics in Snowflake
See how you can use Louvain to identify hidden groups and relationships in peer-to-peer payments, helping you instantly surface fraudulent behavior and risky clusters.
Perform Advanced Graph Analytics Directly in Snowflake
Identify complex patterns, like fraud networks, product affinities, patient journeys, and duplicate entities, using hidden relationships already in your data.
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Run graph algorithms and write results directly to Snowflake tables—no data movement required. Keep your data secure and compliant while reducing pipeline complexity and infrastructure costs.
Learn MoreRun graph analytics with familiar SQL syntax directly in Snowflake—no new languages or platforms to learn. Work in Snowsight, Notebooks, or Streamlit with the tools you already use every day.
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Pay only for what you use with serverless compute that scales automatically. No upfront costs or idle resources—just efficient, usage-based pricing that grows with your needs.
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Graph Analytics for Snowflake Use Cases
Provide Better Product Recommendations
Recommend products based on customer engagement and search behavior.
Detect and Prevent Fraud
Uncover sophisticated scams, bad actors, and unusual behavior.
Create Better Customer Experiences
Turn fragmented data into a unified 360-view of your customer to better understand them.
Optimize Supply Chain Management
Find potential bottlenecks, risk points, and optimal alternative routes.
Make Entity Resolution More Accurate
Link duplicate records that refer to the same entity across all your data.
Loved by Devs. Deployed Worldwide.
1,700+ organizations build on Neo4j for data breakthroughs.
“Our approach using Neo4j Graph Analytics for Snowflake ensures marketers stay ahead of the curve by stitching together records from 20 distinct data sources —encompassing 2.2 billion records— using SQL without ever moving the data.”
Benjamin Squire
Audience Acuity
“I’d say some of the most surprising results have been how easy it was to integrate it into our existing mature infrastructure, and then how quickly my team adopted it.”
Thomas Larsen
AbbVie
“After a couple of months when we went into production, we managed to improve engagement by roughly 25%.”
Kostis Manolitzas
Sky
Resources
Discover Fraudulent Communities in Financial Services Data with Neo4j Graph Analytics
Identify Bottlenecks and Model Disruptions using Neo4j Graph Analytics
Manage Risk with a Digital Twin in Manufacturing Data using Neo4j Graph Analytics
Identify Similar Patient Journeys in Healthcare Data with Neo4j Graph Analytics
Frequently Asked Questions
Yes, Neo4j offers a free 30-day trial!
No, a Neo4j license is not required. Simply accept the Snowflake Marketplace licensing terms and conditions and get started today!
Generally, no. AuraDB combined with Aura Graph Analytics gives you the full capabilities of a native graph database with advanced graph algorithms—ideal for pattern matching, Cypher queries, and fast multi-hop analysis. Graph Analytics for Snowflake, on the other hand, is best suited for well-defined analytical problems on relational data.