See the Connections Your SQL Can't: Graph Analytics with FalkorDB & Snowflake
Walk through Graph Projection → Algorithm Execution → Writing Results Back.
SQL hits a wall when your data is deeply interconnected. With FalkorDB's zero-ETL approach, you model your existing Snowflake tables as a graph and run powerful graph algorithms without moving the data. No separate pipeline. No data migration. No new infrastructure.
FalkorDB brings native graph computation directly into your Snowflake environment, surfacing insights like fraud signals, influence chains, shortest paths, communities, that flat SQL simply cannot produce.
What You Will Learn:
What Zero-ETL Means: See why running graph analytics directly on your Snowflake data eliminates the performance overhead and cost burden of extract, transform, and reload pipelines.
How a Graph Algorithm Call Works: Each call follows three steps inside a single SQL query
Demo - PageRank on Flight Data: A hands-on walkthrough using an open flights dataset to rank the most connected airports, with results written back to Snowflake and visualized instantly.
Who Should Attend?
This session is intended for data scientists, data engineers, and analysts who want to run graph algorithms at scale on their Snowflake data using the SQL tools they already know.