join Objectivity, Inc.’s, Nick Quinn in a discussion of the latest trends in Big Data Analytics, defining what “Big Data” is and understanding how to maximize your existing architectures by utilizing NOSQL technologies to improve functionality and provide real-time results. How Graph Database technology, like InfiniteGraph, can support complex relationship analytics problems. How to turn your Big Data into Smart Data. How to develop applications with significant time-to-market advantages and technical cost savings.

1. Objectivity Overview
The Company, Customers and Products
Nick Quinn
For Estuate Inc.
August 2013

2. Objectivity Inc.
• Objectivity, Inc. is headquartered in Sunnyvale, CA.
• Objectivity has over two decades of Big Data and NoSQL experience
• We develop NoSQL platforms for managing and discovering relationships and
patterns in complex data:
– Objectivity/DB - an object database that manages localized, centralized or
distributed databases
– InfiniteGraph - a massively scalable graph database built on Objectivity/DB
that enables organizations to find, store and exploit the relationships in their
data
– GraphMyLife – an App that uses InfiniteGraph in the Cloud to allow users to
combine multiple social networks and search, discover and share information

Millions of deployments - Our technology is embedded in hundreds of enterprise
and government systems and commercial products
Copyright © Objectivity, Inc. 2013

3. Not Only SQL – A group of 4 primary technologies
Simple Highly
Interconnected
Copyright © Objectivity, Inc. 2013

4. Applications for Graph Analytics
LOGISTICS HEALTHCARE INFORMATICS
MARKET ANALYSIS SOCIAL NETWORK ANALYSIS
Copyright © Objectivity, Inc. 2013

5. Graph (Relationship) Analytics...
A SQL Shortcoming
Think about the SQL query for finding all links between the two “blue” rows... it's hard!!
Table_A Table_B Table_C Table_D Table_E Table_F Table_G
There are some kinds of complex relationship handling problems that SQL
wasn't designed for.
Copyright © Objectivity, Inc. 2013

6. ...Graph Analytics
InfiniteGraph - The solution can be found with a few lines of code
A SQL Shortcoming
A3 G4
Table_A Table_B Table_C Table_D Table_E Table_F Table_G
Copyright © Objectivity, Inc. 2013

7. Representing the Graph...
Combatant A
Civilian Q
Situation Y
Civilian P
Bank X
Civilian S
Civilian R
Events/Places People/Orgs Facts
Situation X
The existing intelligence data might look like this:
Target T
Cafe C S Seen Near TA Banks at X
A Called P
A Seen At Y
A Seen Near X P Emailed S
P Called Q Q Seen Near T
P Called R R Seen Near T
X Paid S
A Eats At
Copyright © Objectivity, Inc. 2013

8. VERTEX EDGE
2 N
...Representing the Graph..
“Nodes” “Connections”
Copyright © Objectivity, Inc. 2013

9. Representing the Graph...
Combatant A
Civilian Q
Situation Y
Civilian P
Civilian S
Civilian R
Events/Places People/Orgs Facts
Situation X
Target T
We start by identifying the nodes (Vertices) and the connections (Edges)
NODES CONNECTIONS
S Seen Near TA Banks at X
A Called P
A Seen At Y
A Seen Near X P Emailed S
P Called Q Q Seen Near T
P Called R R Seen Near T
X Paid SBank X
Cafe C
A Eats At
Copyright © Objectivity, Inc. 2013

10. ...Representing the Graph..
Situation X Combatant ASeen Near
Civilian P
Called
Called
Seen At Situation Y
Civilian Q
Target T
Seen Near
Emailed
Banks At
Bank X
Civilian S
Seen Near
Called
Civilian R
Seen Near
Paid
Eats At
Cafe C
VERTEX EDGE“Nodes” “Connections”
Copyright © Objectivity, Inc. 2013

11. ...Analyzing the Graph...
Situation X Combatant ASeen Near
Civilian P
Called
Called
Seen At Situation Y
Civilian Q
Target T
Seen Near
Emailed
Banks At
Bank X
Civilian S
Seen Near
Called
Civilian R
Seen Near
Paid
Eats At
Cafe C
Copyright © Objectivity, Inc. 2013

12. ...Analyzing the Graph...
Situation X Combatant ASeen Near
Civilian P
Called
Called
Seen At Situation Y
Civilian Q
Target T
Seen Near
Emailed
Banks At
Bank X
Civilian S
Seen Near
Called
Civilian R
Seen Near
Paid
Eats At
Cafe C
Copyright © Objectivity, Inc. 2013

13. ...Threat Analysis
Situation X Combatant ASeen Near
Civilian P
Called
Called
Seen At Situation Y
Civilian Q
Target T
Seen Near
Emailed
Banks At
Bank X
Civilian S
Seen Near
Called
Civilian R
Seen Near
Paid
SUSPECTS
NEEDS PROTECTION
Copyright © Objectivity, Inc. 2013

14. Graph Databases Can Connect The Dots
DATABASE(S)
GRAPH DATABASE
Copyright © Objectivity, Inc. 2013

15. Visual Analytics
Copyright © Objectivity, Inc. 2013

16. • A high performance distributed database engine that supports analyst-time decision
support and actionable intelligence
• Cost effective link analysis – flexible deployment on commodity resources (hardware
and OS).
• Efficient, scalable, risk averse technology – enterprise proven.
• High Speed parallel ingest to load graph data quickly.
• Parallel, distributed queries
• Flexible plugin architecture
• Complementary technology
• Fast proof of concept – easy to use Graph API.
InfiniteGraph - The Enterprise Graph Database
Copyright © Objectivity, Inc. 2013

17. InfiniteGraph Capabilities
Parallel Graph Traversal Inclusive or Exclusive Selection
X
X
Shortest or All Paths Between Objects
Start Start
Start Finish Start
Compute Cost To Date
Visualize
Computational & Visualization Plug-Ins
Copyright © Objectivity, Inc. 2013

18. Online Demo - Call Detail Record Analysis
Used in law enforcement, counter-terrorism and Customer Resource Management

19. Thank You!
Please take a look at objectivity.com
For InfiniteGraph Online Demos, White Papers, Free
Downloads, Samples & Tutorials
and visit our booth for a demonstration