TigerGraph, Connecting the World
summary
Graph analytic system that combines transactional and analytics workloads and runs distributed or single-node, demonstrated on an IMDB import with 19 million vertices and 156 million edges to show deep-link traversals (10–25 hops) and shortest-path queries in real time. Uses GSQL (SQL-like, Turing-complete) with GSQL with C++ UDFs and exposes REST APIs for JSON/CSV; supports in-database ML, community detection, Jaccard-style similarity, and use cases like fraud, AML, recommendations.
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chapters (13)
- 0:00Introduction to graph tech
- 2:30Graph vs relational databases
- 5:17What is TigerGraph
- 7:45Deep link analysis
- 11:17Graph analytics use cases
- 13:23TigerGraph architecture
- 14:08Demo setup and schema
- 18:46Manual data traversal
- 20:11Finding unknown connections
- 23:34Simple query execution
- 26:10Similarity search demo
- 27:38Person similarity demo
- 28:20Workshop and resources
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