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Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud

Blog post from Neo4j

Post Details
Company
Date Published
Author
Sudhir Hasbe
Word Count
739
Company Posts That Month
22
Language
English
Hacker News Points
-
Post removed?
No
Summary

The integration of Neo4j's Graph Data Science (GDS) capabilities with the Snowflake AI Data Cloud enables users to perform graph analytics directly within Snowflake SQL, without requiring expertise in graph analysis. This allows for a serverless, isolated, and flexible environment for graph analytics, which can be used for various applications such as predictive analytics, fraud detection, and generative AI. The integration eliminates the need for complex data migration jobs between separate ML or database platforms, reducing time to value and allowing organizations to get more analytics projects into production faster. With Neo4j's extensive library of graph algorithms, including similarity, pathfinding, community detection, and many others, users can leverage advanced insights in various industries, such as banking, healthcare, supply chain, and more. The integration is available for preview and early access on Snowflake Marketplace, with general availability later this year.

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