1. Leveraging Commercial Graph DB Technologies in Open Source and Polyglot Application Environments Brian Clark, VP Product Management
Objectivity, Inc.

2. Objectivity, Inc. Who we are – Objectivity, Inc.
What we do - InfiniteGraph.
Why InfiniteGraph?
Open Source Polyglot Use Cases.
Other uses of open source in Objectivity, Inc.

3. Objectivity, Inc.
The world today is about big data, distributed objects and connections between them.
Objectivity/DB™ Distributed big data and object management.
InfiniteGraph™ Connects the dots on a global scale.

4. Why We’re Different
Relational databases are not optimized to understand objects or connections.
Objectivity/DB™ is all about objects and relationships.
InfiniteGraph™ is all about the connections as first class citizens.

5. Find Complex Answers Faster with InfiniteGraph’s Distributed Graph Database
InfiniteGraph is optimized for high speed traversal of complex relationships.
Return results faster by several orders of magnitude compared to other technologies.
Performance will not degrade or suddenly drop-off.
Internal, Confidential

6. InfiniteGraph in the “NOSQL” Market

7. InfiniteGraph™ Connects the dots on a global scale.
InfiniteGraph™ finds connections in big data.

8. InfiniteGraph Values Connects the dots on a global scale.
It’s all about finding, persisting and navigating relationships in big data.
You can download, develop, deploy at no cost.
InfiniteGraph starts at $0.
You can build for free, and expand as needed.
Leading the data and graph markets.
No other graph product today can serve the requirements of enterprise, government and large scale online ventures, as we can.
InfiniteGraph is the commercial leader in graph technologies for these markets. Our customers are proof.

9. InfiniteGraph’s Unique Advantages
Supports large scale and distributed systems.
Proven technology and deployments.
Flexible and Easy:
Distributed and cloud ready, Java on interoperable platforms, integrates with most other data stores, supports ACID to flexible modes.

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

11. Open Source Polyglot Applications
Where does the graph data come from?
Extracting data from other sources, relational databases (join tables); key-value stores such as MongoDB; social networks, e.g. Facebook, LinkedIn through public APIs; the Web, e.g. Wikipedia, RDF.
Using open source to store external keys (e.g. GUID, URI) to InfiniteGraph element ids mapping for very large graphs –billions of nodes and edges.

12. InfiniteGraph Basic Architecture
User Apps
Blueprints
InfiniteGraph - Core/API
Management Extensions
Navigation Execution
Placement
Session / TX Management
Configuration
Distributed Object and Relationship Persistence Layer
Copyright © InfiniteGraph 12

13. Parallel Ingest App-1 (Ingest V1) App-1 (E1 2{ V1V2}) App-2
InfiniteGraph - Core/API
Placement (MDP Plugin)
Navigation Execution
Management Extensions
Placement
Session / TX Management
Configuration
Distributed Object and Relationship Persistence Layer V1 V2 V3
E12
E23
Copyright © InfiniteGraph 13

14. Distributed Placement
AddVertex()
IG Core/API
ADP Placement
Distributed Object and Relationship Persistence Layer
Zone 1
Zone 2
HostA
HostB
HostC
HostX
Copyright © InfiniteGraph 14

15. Distributed Placement & Pipelining
IG Core/API
Management Extensions
Navigation Execution
Placement
(ADP)
Placement
(MDP)
Session / TX Management
Configuration
Pipeline
Agent
E(1->2)
E(2->3)
E12
E(1->2) C1
E(3->1)
E(2->1)
E(1->2)
Target Containers
Pipeline Containers
E23
E(2->3)
E(2->3)
E(2->1) C2
E(3->1)
E(2->3)
E(1->2)
E(3->1)
E(3->1) C3
E(3->2)
E(3->2)
Copyright © InfiniteGraph 15

16. Parallel Processing and Storage
Apache HADOOP
InfiniteGraph
Map/reduce
Distributed processing.
HDFS
Distributed file system.
HBase
Distributed storage for large tables.
Cassandra
Multi-master database with no single point of failure.
Distributed processing
Peer-to-peer servers and clients anywhere in the network.
Distributed data
Federation of databases anywhere in the network.
Single logical view of all data in the federation
Any client anywhere can access server anywhere.

17. InfiniteGraph™ Technical specifications: Written in: Java (core C++) .
Platforms: Windows (32-bit and 64-bit), Linux (32-bit and 64-bit), Mac (64-bit).
Graph-Model: Labeled directed multigraph.
API/Protocols: Java, Tinkerpop (which provides Gremlin, REST, Frames, Ripple and Linked Process).
Consistency: Flexible (from ACID, to relaxed).
Indexing: Flexible (from automatic to manual)
Persistence: Java class based.

18. Comprehensive Online Resources
InfiniteGraph.com (main site, content and messaging)
Download InfiniteGraph
Product Documentation
InfiniteGraph Developer Wiki
Google Group for Developers
Our Blog

19. Other uses of Open Source
Eclipse
IDE for development and samples;
Plug-ins (browsers/visualizer);
SWTBot - UI testing of Visualizer and Assist.
Apache Ant, Maven, Tycho - build.
Junit – test.
SL4J - plug into log4j and apache logging.
Lucene – text indexing.

20. Other uses of Open Source
Xerces C++ – C++ Parser in XML tool suite.
PCRE  --> C++ Parser Generator
zlib --> C++ compression
cppcheck - check memory leaks, etc.
ANTLR 3 –Predicate Query Language (parser).
unixODBC – SQL++ access to database.

21. We’re exhibiting – Booth #708 Brian Clark VP Product Marketing