The document discusses Neo4j, the leading graph database, highlighting its advantages over traditional relational databases for dynamic data systems. It outlines various use cases in real-time recommendations, fraud detection, and identity management, emphasizing efficiency, speed, and agility in data handling. Additionally, it showcases testimonials from developers and companies that have successfully implemented Neo4j to enhance performance and achieve business goals.

1. DIGITAL TRANSFORMATION
IN A CONNECTED WORLD
Neo4j – The World’s Leading Graph Database

2. What is the most powerful
database in the world?

5. The internet

6. Genetic Ancestry of One Single Corn Variety

7. A Linkedin Profile

8. Why?

10. ?

11. GRAPH
DATABASES

12. What graphs are about
What they’re good at
Your first dip!
AGENDA:

13. WHAT IS A GRAPH?

14. A way of representing data
DATA DATA

15. Relational
Database
Good for:
A way of representing data
• Well-understood data structures
that don’t change too frequently
• Known problems involving discrete
parts of the data, or minimal
connectivity

16. Graph
Database
Relational
Database
A way of representing data
Good for:
• Well-understood data structures
that don’t change too frequently
• Known problems involving discrete
parts of the data, or minimal
connectivity
Good for:
• Dynamic systems: where the data
topology is difficult to predict
• Dynamic requirements:
the evolve with the business
• Problems where the relationships in
data contribute meaning & value

17. THE PROPERTY GRAPH
DATA MODEL

18. A Graph Is

19. ROAD
TRAFFIC
LIGHTS
A Graph Is

20. HAS
AVAILABLE
HOTEL
ROOMS
AVAILABLE
A Graph Is

21. KNOWS
KNOWS
KNOWS
WORKS_AT
WORKS_AT
WORKS_AT
COMPANY
STANFORD
STUDIED_AT
KNOWS
NEO
COLUMBIA
STUDIED_AT
STU
D
IED
_AT
STUDIED_AT
NAME:ANNE
SINCE:2012
RELATIONSHIPS
NODE
PROPERTY
A Graph Is

22. NAME:ANNE
SINCE:2012
A Graph Is

24. Use of Graphs has created some of the most successful companies in the world
C
34,3%B
38,4%A
3,3%
D
3,8%
1,8%
1,8%
1,8%
1,8%
1,8%
E
8,1%
F
3,9%

25. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

26. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
VIEWED
GRAPH THINKING:
Real Time Recommendations
VIEWED
BOUGHT
VIEWED
BOUGHT
BOUGHT
BOUGHT
BOUGHT

27. “As the current market leader in graph databases,
and with enterprise features for scalability and
availability, Neo4j is the right choice to meet our
demands.” Marcos Wada
Software Developer, Walmart
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

28. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Master Data Management
MANAGES
MANAGES
LEADS
REGION
M
ANAG
ES
MANAGES
REGION
LEADS
LEADS
COLLABORATES

29. Neo4j is the heart of Cisco HMP: used for governance
and single source of truth and a one-stop shop for all
of Cisco’s hierarchies.
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

30. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
PENED_ACCO
UNT
HAS
IS_ISSUED
GRAPH THINKING:
Fraud Detection
HAS
LIVES
LIVES
IS_ISSUED
OPENED_ACCOUNT

31. “Graph databases offer new methods of uncovering
fraud rings and other sophisticated scams with a
high-level of accuracy, and are capable of stopping
advanced fraud scenarios in real-time.”
Gorka Sadowski
Cyber Security Expert
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

32. GRAPH THINKING:
Graph Based Search
PUBLISH
INCLUDE
INCLUDE
CREATE
CAPTURE
IN
IN
SOURCE
USES
USES
IN
IN
USES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
SOURCE SOURCE

33. Uses Neo4j to manage the digital assets inside of its next
generation in-flight entertainment system.
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

34. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
BROWSES
CONNECTS
BRIDGES
ROUTES
POWERS
ROUTES
POWERS
POWERS
HOSTS
QUERIES
GRAPH THINKING:
Network & IT-Operations

35. Uses Neo4j for network topology analysis
for big telco service providers
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

36. GRAPH THINKING:
Identity And Access Management
TRUSTS
TRUSTS
ID
ID
AUTHENTICATES
AUTHENTICATES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
W
NS
OWNS
CAN_READ

37. UBS was the recipient of the 2014
Graphie Award for “Best Identify And
Access Management App”
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

38. Neo4j Adoption by Selected Verticals
SOFTWARE
FINANCIAL
SERVICES
RETAIL
MEDIA &
BROADCASTING
SOCIAL
NETWORKS
TELECOM HEALTHCARE

39. WHY GRAPHS?

40. Intuitivness
Speed
Agility

41. Intuitivness
Speed
Agility

42. Intuitivness

43. Intuitivness
Speed
Agility

44. Speed
“We found Neo4j to be literally thousands of times faster
than our prior MySQL solution, with queries that require
10-100 times less code. Today, Neo4j provides eBay with
functionality that was previously impossible.”
- Volker Pacher, Senior Developer
“Minutes to milliseconds” performance
Queries up to 1000x faster than RDBMS or other NoSQL

45. Intuitivness
Speed
Agility

46. A Naturally Adaptive Model
A Query Language Designed
for Connectedness
+
=Agility

47. Cypher
Typical Complex SQL Join The Same Query using Cypher
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate,
count(report) AS Total
Project Impact
Less time writing queries
• More time understanding the answers
• Leaving time to ask the next question
Less time debugging queries:
• More time writing the next piece of code
• Improved quality of overall code base
Code that’s easier to read:
• Faster ramp-up for new project members
• Improved maintainability & troubleshooting

48. CYPHER

49. Ann DanLoves
CYPHER

50. Ann DanLoves
CYPHER

51. Ann DanLoves
(Dan)(Ann) -[:LOVES]->
CYPHER

52. Ann DanLoves
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER

53. Ann DanLoves
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER

54. Ann DanLoves
Node Relationship Node
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER

55. Query: Whom does Ann love?
MATCH (:Person {name:"Ann"})–[:LOVES]->(whom)
RETURN whom
CYPHER

56. Users Love Cypher

57. openCypher

58. Impact on the Business
Neo4j is ultra efficient &
normally needs far less hardware
than any alternative
How?
Increase revenue
• Do new & impossible things
• Faster time-to-market
Reduce cost
• Lower infrastructure costs
How?
• Value from data relationships
• Batch to real time
• 1000x faster

59. THANK YOU!

60. Database
storage
Big Data
Pre-computed
Queries & Algorithms
Real-time
Queries & Algorithm
Instructions
Applications