Bring Graph Insights to Your Snowflake Data

“Together, we’re equipping organizations with the tools to extract deeper insights, drive innovation at an unprecedented pace, and set a new standard for intelligent decision-making.”

Jeff Hollan, Head of Applications and Developer Platform, Snowflake
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Deeper Insights Faster

Reveal hidden patterns in your Snowflake data.

Advanced Analytics

   Code less with 65+ ready-to-use graph algorithms, using tools you already know and elastic compute.

Seamless Integration

Work seamlessly with your Snowflake AI Data Cloud using the native app or data import service.

See Neo4j and Snowflake in Action at Upcoming Events

Join us at an upcoming event to check out graph analytics in action and connect with experts.

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Advanced Graph Analytics in Minutes

Neo4j and Snowflake have partnered to bring you advanced graph analytics directly in the Snowflake AI Data Cloud. Combine industry-leading graph technology from Neo4j with a scalable, secure, and governed data platform from Snowflake to uncover hidden patterns in your connected data.

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Work With The Tools You Already Know on Snowflake

Use SQL for graph algorithms in Snowsight Worksheets and Notebooks, or build them into Streamlit applications — no need for ETL, to move data, or write custom code. 

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Import Your Data to Enjoy the Full Power of a Graph Database

Some use cases require the full capabilities of a native graph database. Easily connect your data to Neo4j AuraDB using our import tool to reveal hidden patterns, relationships, and contextual insights.

  • Always-on, zero admin
  • Faster queries
  • Flexible schema, no JOINs
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Industry-Specific Insights for Common Use Cases

Healthcare & Life Sciences

  • Drug discovery
  • Patient journey analysis
  • Infection tracking

Finance Services & Insurance

  • Fraud detection
  • Risk and compliance
  • Customer 360

Marketing

  • Recommendation engines
  • Customer journey mapping
  • Audience segmentation

Manufacturing

  • Supply chain optimization
  • Traceability
  • Alternative supplier identification

Use Cases

Fraud Detection

How do I identify fraud rings and suspect activity?

Recommendation

What should I recommend to a customer next?

Customer 360

Can I resolve information across siloed records?

Supply Chain

What is the most optimal route through a network?

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Enhance Your Snowflake Data

Run on-demand graph analytics with SQL. Create in-memory graphs from Snowflake tables, apply algorithms, and write results back for downstream use, all in Snowflake.

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Data Insights & Results

“Audience Acuity was founded to solve complex identity-resolution challenges. 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. Neo4j’s graph-powered algorithms provided advanced insights offering a transformative edge over traditional methods.”

Benjamin Squire, Principal Data Scientist, Audience Acuity

“At Redefine, our mission is to set new standards in blockchain security and compliance risk assessment. The integration of Neo4j’s Graph Analytics with Snowflake’s infrastructure is instrumental in achieving this goal, enabling us to seamlessly analyze complex blockchain data, uncovering intricate relationships and patterns that were previously hidden.”

Alon Ram, Co-Founder and CTO, Redefine

“Our data analysts used to spend hours writing complex SQL queries across multiple Snowflake tables,” says the Senior Solution Architect. “Now our natural language query solution instantly identifies the right tables and relationships through its knowledge graph, making our Snowflake data instantly accessible to business users.”

Rajib Deb, Specialist Leader, AI and Data Engineering, Deloitte Consulting LLP

Snowflake Resources

Make Smarter Decisions

Uncover new patterns in your Snowflake data with graph-powered insights.

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