1. NOSQL Graph Database and Neo4j Presented by: Zuping Li Xiaoxiao Jiang Peter Neubauer on May 12, 2010

2. NOSQL Categories NOSQL databases can be categorized according to their data model into four categories: 1. Key-Value-stores 2. BigTable-implementations 3. Document-stores 4. Graph Databases

3. NOSQL Categories Position NOSQL Categories Position

4. Graph Databases A graph database uses graph structures with nodes, edges, and properties to represent and store data.

5. Graph Databases Example

6. Neo4j Neo4j is a robust, high performance, scalable graph database. It is the industry's only NOSQL database solving the complex, connected data challenges that enterprises face today.

7. Neo4j Characteristics Neo4j Characteristics 1. Disk Based 2. Massive scalability 3. A powerful traversal framework for high-speed traversals in the node space 4. Can be deployed as a full server or a very slim database with a small footprint (~750k jar)

8. Compare to RDBMS + No O/R impedance mismatch + Can easily evolve schemas + Can represent semi-structured info + Can represent graphs/networks - Lacks in tool and framework support - No other implementations

9. Benefits 1. Enables high performance queries on the complex, connected data inherent in today's applications 2. Simplifies the development of applications using complex, connected data 3. Mature support for transactions 4. Enterprise-grade durability 5. Java support

10. Reference 1. http://www.infoq.com/articles/graph-nosql-neo4j 2. http://www.slideshare.net/emileifrem/nosql-east-a- nosql-overview-and-the-benefits-of-graph-databases 3. http://en.wikipedia.org/wiki/Graph_database 4.http://blogs.neotechnology.com/emil/2009/11/nosql- scaling-to-size-and-scaling-to-complexity.html

11. Thanks!