One of the most promising areas in the world of NoSQL - graphs based storage and processing system which based on the theory of graphs. Neo4J - is, perhaps, the most popular Graph database at the moment. It provides high performance data storage and working with graphs, using various Java APIs and declarative query language Cypher. Adobe, Cisco, classmates.com, Deutsche telecom and many others are using Neo4J.

2. Sergey Enin
sergeyenin@gmail.com
/pankrat
/sergeyenin

3. NOGSRQALPH
DBs
APP DBs
AGENDA

4. Graph Databases
Graph
Databases

5. Graph Databases: HISTORY
Leonhard Euler (1707 –1783)
Swiss mathematician

6. Graph Databases: HISTORY

7. What is
Graph?

8. Graph Databases: GRAPH
Vertice
(Node)
Edge
(Relationship)

9. Graph Databases: WHAT IS IT?

10. Graph Databases: WHAT IS IT?
Joins
VS
Traversals

11. Graph Databases: CHARACTERISTICS
1 Index
Good for semi-structured
connected
data
free-adjacency
The
underlying
storage
The
processing
engine
2
3
4

12. APPs

13. Application: social graphs

14. Application: PAGE RANK

15. APP: Collaborative filtering

17. Neo4J: CHARACTERISTICS
true ACID transactions;
scales to billions of nodes and relationships;
high speed querying through traversals;
declarative graph query language;

18. Neo4J: who use
it
Neo4J: WHO USE

19. Neo4J: who use
it
Neo4J: NETWORK ARCHITECTURE
Neo4J: network architecture

20. Neo4J:Naercoh4itJe:c tAuRreCHITECTURE

21. Neo4J:Naercoh4itJe:c tIunrteernal storage
Node
Relationship

22. Neo4J:Naercoh4itJe:c tIunrteernal storage

23. APPN:e Coo4llJa:b oCrFative filtering

24. APPN:e Coo4llJa:b oCrFative filtering

25. Neo4J: CYPHER
MATCH
(p1:Person)-[x:RATED]->(m:PRODUCT)<-[y:RATED]-
(p2:Person)
WITH
SUM(x.rating * y.rating) AS xyDotProduct,
SQRT(REDUCE(xDot = 0, a IN COLLECT(x.rating) | xDot + a^2))
AS xLength, SQRT(REDUCE(yDot = 0, b IN COLLECT(y.rating) |
yDot + b^2)) AS yLength, p1, p2
CREATE UNIQUE
(p1)-[s:SIMILARITY]-(p2)
SET
s.similarity = xyDotProduct / (xLength * yLength)

26. Alternatives
• GO
• RESTful API
• Built-in query editor and visualizer
• back-end's: LevelDB, MongoDB
• modularity
• No native storage(
• Very raw(

28. sergeyenin@gmail.com
/pankrat
/sergeyenin
Thank you!