Neo4j GraphTalks München Bruno Ungermann, Neo4j

1. Herzlich Willkommen!

2. Neo4j GraphTalks
DSGVO & Compliance
• Einführung in Graphdatenbanken und Neo4j (9.30-10.00)
Bruno Ungermann
• Graph-based Metadata Management & Data Governance: Leverage the power of graphs for
GDPR (10.00-11.00)
Dr. Jesus Barrasa
• Wie werden Graphdatenbank-Projekte mit Neo4j zum Erfolg? (11.00-12.00)
Stefan Kolmar
• Q&A

3. Complexity

4. The Rise of Connections in Data
Networks of People Business Processes Knowledge Networks
E.g., Risk management, Supply
chain, Payments
E.g., Employees, Customers,
Suppliers, Partners,
Influencers
E.g., Enterprise content,
Domain specific content,
eCommerce content
Data connections are increasing as rapidly as data volumes

5. The Internet (of Things)

6. Domain Model Logistics Process

7. Traditional Approach: Fixed Schema, Tables

8. Graph Model: Nodes & Relationships
Container
Load
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
USING_CARRIER
Vessel
Physical
Container
Shipment Carrier
Emission
Class A
Shipment:
ID 256787
Carrier:
DHL
Route
10520km
Route:
823km
Fueling
Max Wgt
80
Type Gas
B
Town:
Tokyo
Town:
Hong
Kong
Town:
Hamburg
Container
LoadContainer
LoadContainer
Load
Parcel
Weight
15.5kg
Container
Load

9. Intuitiveness

10. A Naturally Adaptive Model vs Fixed Schema
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. Neo4j - The Graph Company
500+
7/10
12/25
8/10
53K+
100+
250+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers Partners
• Creator of the Neo4j Graph Platform
• ~200 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö
(Sweden)
• $80M in funding from Fidelity, Sunstone,
Conor, Creandum, and Greenbridge
Capital
• Over 10M+ downloads,
• 250+ enterprise subscription customers
with over half with >$1B in revenue
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs

13. 2010 2011 2012 2013 2015 2017
Invented Cypher -
Leading language
for graph queries
First open source GA
version of a property
graph database
O’Reilly Graph
Database —
first definitive
book for graph
professionals
Introduced
labels to
simplify graph
modeling
openCypher Project
— open sourced
Cypher to create the
de facto standard
Launched
industry’s
first Graph
Platform
Neo4j — The Graph Technology Pioneer
2014
Visual Graph
Query Browser
2016
Causal
Consistency
for Graphs

14. 2012  2018
May 10th-11th, London
CONFERENCE
+
TRAINING

15. “Neo4j continues to dominate the graph database market.”
69% of enterprises plan to implement graph databases within the next 12 months.
“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
Noel Yuhanna Forrester Market Overview: Graph Database Vendors October 2017
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

16. Graph Based Success

17. 17
• Record “Cyber Monday” sales
• About 35M daily transactions
• Each transaction is 3-22 hops
• Queries executed in 4ms or less
• Replaced IBM Websphere commerce
• 300M pricing operations per day
• 10x transaction throughput on half the
hardware compared to Oracle
• Replaced Oracle database
• Large postal service with over 500k
employees
• Neo4j routes 7M+ packages daily at peak,
with peaks of 5,000+ routing operations per
second.
Handling Large Graph Work Loads for Enterprises
Real-time promotion
recommendations
Marriott’s Real-time
Pricing Engine
Handling Package
Routing in Real-Time

18. 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

19. Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization
Developers
Admins
Applications Business Users
Data Analysts
Data Scientists

20. How Neo4j Fits — Common Architecture Patterns
From Disparate Silos
To Cross-Silo Connections
From Tabular Data
To Connected Data
From Data Lake Analytics
to Real-Time Operations

21. 21
Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Knowledge
Graph
Identity & Access
Management
Common Graph Technology Use Cases
AirBnb

22. How to Start?