Introduction to InfiniteGraph, a unique distributed, massively scalable, graph database that facilitates large-scale, fast graph processing, data analytics, real-time decision support and discovery of information around mission critical enterprise requirements by connecting the dots on a global scale.

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

2. Relationships are everywhere
Relationships are everywhere
CRM, Sales &
CRM, Sales &
Marketing Network
Mgmt, Intelligence
Telecom (Government
& Business)
PLM (Product
PLM (Product
Lifecycle
Mgmt)
Finance
Social Healthcare
Networks Research:
Genomics

3. Graph Databases
Graph Databases
• Optimized around data relationships
Optimized around data relationships
– Relationships as first class citizens
– Super fast traversal between entities
Super fast traversal between entities
– Rich/flexible annotation of connections
• S ll f
Small focused API (typically not SQL)
d API (t i ll t SQL)
– Natively work with concepts of Vertex/Edge
– SQL has no concept of “navigation”
– Most attempts based in SQL are convoluted
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4. Simple API
Simple API
Vertex alice = myGraph.addVertex(new Person(“Alice”));
Vertex bob = myGraph.addVertex(new Person(“Bob”));
Vertex carlos = myGraph.addVertex(new Person(“Carlos”));
G ( (“C ”))
Vertex charlie = myGraph.addVertex(new Person(“Charlie”));
alice.addEdge(new Meeting(“Denver”, “5-27-10”), bob);
Meeting( Denver , 5 27 10 ),
bob.addEdge(new Call(timestamp), carlos);
carlos.addEdge(new Payment(100000.00), charlie);
bob.addEdge(new Call(timestamp), charlie);
Alice Bob Carlos Charlie
Meets Calls Pays
Calls
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5. Navigational Query Performance
Navigational Query Performance

6. Some customers and partners

7. Tomorrow @ 12:30
Tomorrow @ 12:30
• Data models for Graph Databases
Data models for Graph Databases
• Distributing Graphs ‐ Not just a partitioning
problem
• Getting data in fast
• Scaling out navigational queries
• New in 2.0
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8. Thankyou !
Thankyou !
darren.wood@infinitegraph.com
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