Darren Wood, Chief Architect at InfiniteGraph, presents on graph databases emphasizing the importance of data relationships and fast traversal between entities. He discusses a simple API that allows for rich annotations and navigation of connections, contrasting it with SQL, which lacks inherent navigational capabilities. The document also touches on scaling and distributing graphs efficiently.

1. IG in 5 minutes Darren Wood Chief Architect, InfiniteGraph

2. Relationships are everywhere

3. Graph Databases Optimized around data relationships Relationships as first class citizens Super fast traversal between entities Rich/flexible annotation of connections Small focused API (typically not SQL) Natively work with concepts of Vertex/Edge SQL has no concept of “navigation” Most attempts based in SQL are convoluted Copyright © InfiniteGraph

4. Simple API Copyright © InfiniteGraph Vertex alice = myGraph.addVertex(new Person(“Alice”)); Vertex bob = myGraph.addVertex(new Person(“Bob”)); Vertex carlos = myGraph.addVertex(new Person(“Carlos”)); Vertex charlie = myGraph.addVertex(new Person(“Charlie”)); alice.addEdge(new Meeting(“Denver”, “5-27-10”), bob); bob.addEdge(new Call(timestamp), carlos); carlos.addEdge(new Payment(100000.00), charlie); bob.addEdge(new Call(timestamp), charlie); Alice Carlos Charlie Bob Meets Calls Pays Calls

5. Navigational Query Performance

6. Some customers and partners

7. Tomorrow @ 12:30 Data models for Graph Databases Distributing Graphs - Not just a partitioning problem Getting data in fast Scaling out navigational queries New in 2.0 Copyright © InfiniteGraph

8. Thankyou ! Copyright © InfiniteGraph [email_address]