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Herzlich Willkommen zum Neo4j Partnertag!
!
!
!
!
!
!
bruno.ungermann@neotechnology.com
9.30-10.00 Registrierung und Networking

10.00-11.00 Geschäftliches Potential für System-Integratoren und Berater –
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH
Bruno Ungermann

11.00-11.30 Neo4j Partner Program (english)
Erik Nolten

11.30-11.45 Pause

11.45-12.45 Schneller Nutzen mit Neo4j: das Beispiel Panama Papers 
Stefan Kolmar

Mittagessen & Networking
Alexander Erdl
Berlin Metro Map
A Linkedin Profile
The Internet (oT)
Domain Model Logistics Process
Traditional Approach: Tables
Graph Model: Nodes & Relationships
Container !
Load!
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
FROM
TO
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
FUELING
USING_CARRIER
LOAD
USING CARRIER
Vessel!
Physical !
Container!
Container !
Load!
Shipment!
Carrier!
Emission!
Class A!
Shipment!
Carrier!
Route!
10520km!
Route!
823km!
!
Fueling!
Max Weight 80!
Type of Gas B!
!
Town:!
Tokyo!
Town:!
Hong Kong!
Town:!
Hamburg!
Container !
Load!Container !
Load!Container !
Load!
Parcel !
Weight
15.5kg!
Intuitiveness
A Naturally Adaptive Model
Flexibility
“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 other tested database types!
Speed
Discrete Data
Minimally 

connected data
Neo4j is designed for data relationships
Other NoSQL
 Relational DBMS
 Neo4j Graph DB
Connected Data
Focused on
Data Relationships
Development Benefits

Easy model maintenance

Easy query
Deployment Benefits

Ultra high performance
Minimal resource usage
Use the Right Database for the Right Job
NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Meta Data Management
			
Logistics	
RDBM
S
					CRM	
RDB
MS
					Mails	
Mails
yst
Docs	
Filesy
sem
Media	
Library	
Filesy
sem
						CMS	
RDB
MS
				
Laboratory	
RDB
MS
		LogFiles	
RDB
MS
Ecommerce	
RDB
MS
NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
Polymer processing
Children’s toys: high responsibility!
Schleich: transparency & reliable answers
Is there a critical substance ?!
?!
product!
materials!
substances!
lab tests!
measured values!
statutory thresholds!
law!
local context!
batches!
Bartagame14675!
(Charge 11A1)!
processing steps!
Schleich example:"
joint development by domain experts & architects
law XYZ
product idea
briefing boardconcept board
budget
project
model
project
profile
product
version
product
components
(bill of material BOM)
chemical risk
assessment
component X
tool
technical
specification and
documents
production process
approval
approval
approval
User	Interface:	does	not	have	to	be	a	graph	
the	Micro	App	„BOM	Edit“	
Dr. Andreas Weber | semantisches Produktdatenmanagement | 23.06.2016 | Folie 17
NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
„We have many different silos, many different data domains and in
order to make sense out of our data we need to bring those together
and make them useful for us.“ Sokratis Kartelias Senior Product
Manager !
GRAPH THINKING:
Graph Based Search
INCLUDE
INCLUDE
CREATE
IN
SOURCE
IN
IN
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
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
GRAPH THINKING:
Identity And Access Management
TRUSTS
TRUSTS
AUTHENTICATES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
CAN_READ
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
Telenor!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
BRIDGES
POWERS
POWERS
GRAPH THINKING:
Network & IT-Operations
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
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
BOUGHT
VIEWED
BOUGHT
“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
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
“A logistics network is a graph, and doesn’t fit the table structure of a relational database well,” says Wagenknecht. The
team chose Neo4j for its flexibility and scalability. With Neo4j’s native graph storage and processing engine,
transactions took milliseconds, not minutes, for high-speed, full graph, database traversals.!
Dominik Wagenknecht
Technology Architect, Accenture!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Fraud Detection
HASOPENED_ACCOUNT
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
“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!
•  Panama based lawyers Mossack & Fonseca do
business in hosting “letterbox companies”

•  Suspected to support tax saving and organized crime

•  Client data were leaked from M&F to ICIJ (International
Consortium of Investigative Journalists)

à The Panama Papers

•  Altogether: 2.6 TB, 11 milo files, 214.000 letter box
companies 

•  Goal to unravel chains Bank-Person–Client–Address–
Intermediaries – M&F

•  Earlier cases: spreadsheet based analysis (back-and-
forth) & pencil to extract such connections

•  This case: sheer amount of data & arbitrarily chain
length condemn such approaches to fail
•  400 journalists, investigate/update/share, 2 people with
IT background!
!
!
!
H
A
SOPE
NED
_AC
COU
NT
H
A
SOPE
NED
_AC
COU
NT
H
A
SOPE
NED
_AC
COU
NT
............!
2000 2003 2007 2009 ! 2011! 2013! 2014! 2015!2012!
GraphConnect, 

first conference for
graph DBs
First 

Global 2000 

Customer
	
	
Introduced 

first and only
declarative query
language for
property graph

Published
O’Reilly 

book

on Graph
Databases
First 

native 

graph DB 

in 24/7
production

Invented
property
graph
model
Contributed
first graph DB
to open
source
Extended 

graph data
model to 

labeled
property
graph

150+ customers
50K+ monthly

downloads
500+ graph 

DB events

worldwide	
	
Neo4j: The Graph Database Leader
“Forrester estimates that over 25% of enterprises will be using graph
databases by 2017”
“Neo4j is the current market leader in graph databases.”
“Graph analysis is possibly the single most effective competitive
differentiator for organizations pursuing data-driven operations and
decisions after the design of data capture.”
IT Market Clock for Database Management Systems, 2014

https://www.gartner.com/doc/2852717/it-market-clock-database-management
TechRadar™: Enterprise DBMS, Q1 2014

http://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801
Graph Databases – and Their Potential to Transform How We Capture Interdependencies (Enterprise Management Associates)

http://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-potential-transform-capture-interdependencies/
Neo4j Leads the Graph Database Revolution
2012 à 2015
db-engines.com: Trend of DBMS categories
Financial

Services
Communications
Health &

Life Sciences
HR &

Recruiting
Media &

Publishing
Social

Web
Industry 

& Logistics
Entertainment
 Consumer Retail
 Information Services
Business Services
Neo4j Leads the Graph Database Revolution
How to Start?
Case Studies Library
Events, Developer Pages, Intro Videos ....
Contacts
Let‘s work together...
A Closer Look at Neo4j Editions
Q & A
!
!
!
!
!
!
bruno.ungermann@neotechnology.com

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Geschäftliches Potential für System-Integratoren und Berater - Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH

  • 1. Herzlich Willkommen zum Neo4j Partnertag! ! ! ! ! ! ! bruno.ungermann@neotechnology.com
  • 2. 9.30-10.00 Registrierung und Networking 10.00-11.00 Geschäftliches Potential für System-Integratoren und Berater – Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH Bruno Ungermann 11.00-11.30 Neo4j Partner Program (english) Erik Nolten 11.30-11.45 Pause 11.45-12.45 Schneller Nutzen mit Neo4j: das Beispiel Panama Papers Stefan Kolmar Mittagessen & Networking Alexander Erdl
  • 8. Graph Model: Nodes & Relationships Container ! Load! USING ROUTE Depart 2014-04-15 Arrive 2014-04-28 FROM TO USING ROUTE Depart 2014-04-15 Arrive 2014-04-28 FUELING USING_CARRIER LOAD USING CARRIER Vessel! Physical ! Container! Container ! Load! Shipment! Carrier! Emission! Class A! Shipment! Carrier! Route! 10520km! Route! 823km! ! Fueling! Max Weight 80! Type of Gas B! ! Town:! Tokyo! Town:! Hong Kong! Town:! Hamburg! Container ! Load!Container ! Load!Container ! Load! Parcel ! Weight 15.5kg!
  • 10. A Naturally Adaptive Model Flexibility
  • 11. “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 other tested database types! Speed
  • 12. Discrete Data Minimally 
 connected data Neo4j is designed for data relationships Other NoSQL Relational DBMS Neo4j Graph DB Connected Data Focused on Data Relationships Development Benefits
 Easy model maintenance
 Easy query Deployment Benefits
 Ultra high performance Minimal resource usage Use the Right Database for the Right Job
  • 13. NEO4j USE CASES Real Time Recommendations Meta Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations GRAPH THINKING: Meta Data Management Logistics RDBM S CRM RDB MS Mails Mails yst Docs Filesy sem Media Library Filesy sem CMS RDB MS Laboratory RDB MS LogFiles RDB MS Ecommerce RDB MS
  • 14. NEO4j USE CASES Real Time Recommendations Meta Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations Polymer processing Children’s toys: high responsibility!
  • 15. Schleich: transparency & reliable answers Is there a critical substance ?! ?! product! materials! substances! lab tests! measured values! statutory thresholds! law! local context! batches! Bartagame14675! (Charge 11A1)! processing steps!
  • 16. Schleich example:" joint development by domain experts & architects law XYZ product idea briefing boardconcept board budget project model project profile product version product components (bill of material BOM) chemical risk assessment component X tool technical specification and documents production process approval approval approval
  • 17. User Interface: does not have to be a graph the Micro App „BOM Edit“ Dr. Andreas Weber | semantisches Produktdatenmanagement | 23.06.2016 | Folie 17
  • 18. NEO4j USE CASES Real Time Recommendations Meta Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations „We have many different silos, many different data domains and in order to make sense out of our data we need to bring those together and make them useful for us.“ Sokratis Kartelias Senior Product Manager !
  • 19. GRAPH THINKING: Graph Based Search INCLUDE INCLUDE CREATE IN SOURCE IN IN NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
  • 20. 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
  • 21. GRAPH THINKING: Identity And Access Management TRUSTS TRUSTS AUTHENTICATES NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations CAN_READ
  • 22. 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
  • 23. Telenor! NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
  • 24. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations BRIDGES POWERS POWERS GRAPH THINKING: Network & IT-Operations
  • 25. 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
  • 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 BOUGHT VIEWED 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 “A logistics network is a graph, and doesn’t fit the table structure of a relational database well,” says Wagenknecht. The team chose Neo4j for its flexibility and scalability. With Neo4j’s native graph storage and processing engine, transactions took milliseconds, not minutes, for high-speed, full graph, database traversals.! Dominik Wagenknecht Technology Architect, Accenture!
  • 29. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations GRAPH THINKING: Fraud Detection HASOPENED_ACCOUNT
  • 30. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations “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!
  • 31. •  Panama based lawyers Mossack & Fonseca do business in hosting “letterbox companies” •  Suspected to support tax saving and organized crime •  Client data were leaked from M&F to ICIJ (International Consortium of Investigative Journalists)
 à The Panama Papers •  Altogether: 2.6 TB, 11 milo files, 214.000 letter box companies •  Goal to unravel chains Bank-Person–Client–Address– Intermediaries – M&F •  Earlier cases: spreadsheet based analysis (back-and- forth) & pencil to extract such connections •  This case: sheer amount of data & arbitrarily chain length condemn such approaches to fail •  400 journalists, investigate/update/share, 2 people with IT background! ! ! ! H A SOPE NED _AC COU NT H A SOPE NED _AC COU NT H A SOPE NED _AC COU NT
  • 32.
  • 34. 2000 2003 2007 2009 ! 2011! 2013! 2014! 2015!2012! GraphConnect, 
 first conference for graph DBs First 
 Global 2000 
 Customer Introduced 
 first and only declarative query language for property graph Published O’Reilly 
 book
 on Graph Databases First 
 native 
 graph DB 
 in 24/7 production Invented property graph model Contributed first graph DB to open source Extended 
 graph data model to 
 labeled property graph 150+ customers 50K+ monthly
 downloads 500+ graph 
 DB events
 worldwide Neo4j: The Graph Database Leader
  • 35. “Forrester estimates that over 25% of enterprises will be using graph databases by 2017” “Neo4j is the current market leader in graph databases.” “Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture.” IT Market Clock for Database Management Systems, 2014
 https://www.gartner.com/doc/2852717/it-market-clock-database-management TechRadar™: Enterprise DBMS, Q1 2014
 http://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801 Graph Databases – and Their Potential to Transform How We Capture Interdependencies (Enterprise Management Associates)
 http://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-potential-transform-capture-interdependencies/ Neo4j Leads the Graph Database Revolution
  • 36.
  • 38. db-engines.com: Trend of DBMS categories
  • 39. Financial
 Services Communications Health &
 Life Sciences HR &
 Recruiting Media &
 Publishing Social
 Web Industry 
 & Logistics Entertainment Consumer Retail Information Services Business Services Neo4j Leads the Graph Database Revolution
  • 42. Events, Developer Pages, Intro Videos ....
  • 45. A Closer Look at Neo4j Editions