Leveraging Connected Data with Graph Technology

© 2023 Neo4j, Inc. All rights reserved.
1
L’art du Possible
avec la
Technologie des
Graphes
Philip Rathle
CTO at Neo4j

2
At the heart of every enterprise challenge
is an explosion of data complexity

Data Growth Is Accelerating.
3
200+ 98 41B
Zettabytes
In cloud data storage
by 2025
Average number of
enterprise SaaS apps
Connected IOT
devices by 2025

4
Exponential Growth
in Connected Data
The world is becoming
increasingly connected
Digital twin
IoT
Cloud
Wearables
Big Data
. . .
Mobility
Genomics
FinTech
Blockchain
Autonomous vehicles
. . .
Data models the
real world. So, data is
becoming increasingly
connected.
More data, exponentially more
connections
Connected data use
cases explode, in number
and in depth
Payment
Networks
Supply Chains
Asset
Ownership
Risk Networks
. . .
Knowledge Graphs
Computer Networks
Org Hierarchies
Social Influence
. . .

5
Connections in data
are as valuable as the
data itself

6
Increasingly we’re learning that you can
make better predictions about people
by getting all the information from their
friend and their friends’ friends than you
can from the information you have
about the person themselves.
—Dr. James Fowler

7
Connections in data
are as more valuable
than the data itself?

Connected Data Elevates Use Case Effectiveness
The plateau of
aggregate data
Use Case Maturity (time)
Connected data
potential
Your opportunity
with Graphs
8
Use
Case
Effectiveness

9
How do you
leverage this connected
data explosion?

10
Traditional systems…
are built for data
not connections
“Relational” Databases
don’t handle relationships well
NoSQL Databases
don’t handle relationships at all
10

11
A new approach is needed

12
Data, meet Graph.

13
A way of
representing &
storing data
that more
closely aligns
with how we
conceptualize
data.
13

Data Warehouses
& Data Lakes
|<———————- Graphs Database ————————>|
(Graph Transactions, Analytics, and Science)
Illustration by David Somerville based on the original by Hugh McLeod (@gapingvoid)
RDBMS & NoSQL
Enterprise Data Management Technologies: A Spectrum
14
Discrete Data Connected Data

17
Graph enables organizations to quickly
and easily uncover hidden relationships
and patterns across billions of data
connections
Powering applications that are impossible
with other technologies

18
The Fastest Growing Database Category Over 10 Years
18

19
Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Identity & Access
Management
Risk &
Compliance
Providing Innovative Solutions to The World’s Most
Pressing Business Problems
19
… With Dozens More Emerging Use Cases

20
“[B]y 2025, graph will be
used in 80% of data and
analytics innovations”
Top 10 Data and Analytics Technology Trends for 2021

Huge Interest in Graph Fueled by AI & Ml
21
“50% of Gartner inquiries
on the topic of AI involve a
discussion around the use
of graph technology.”
35x increase in AI research papers
featuring Graph over the past decade
Source: Dimensions Knowledge System
365
13,040
21
Gartner
Top 10 Data and Analytics
Technology Trends for 2021

Neo4j
➔ Category pioneer and
innovator
➔ Largest graph
community
➔ World’s largest
investment in graphs
The Forrester WaveTM
For Graph Data Platforms, Q4 2020
22

23
20 / 20
Top US banks
3 / 5
Top Aircraft Manufacturers
7 / 10
Top Telcos
3 / 5
Top Hotel Groups
8 / 10
Top Insurance Companies
10 /10
Top Automakers
7 / 10
Top Retailers
5 / 5
Top Pharmaceuticals
Trusted by
75 of the
23

Neo4j: The Graph Database of Choice for Hyperscalers
24
Strategic Data & Analytics ISV
Partner
Available in AWS Marketplace
Hundreds of shared wins in 2022
Member of AWS Partner Network since 2013
AWS Foundation Technical Review compliant
RedShift & SageMaker Integration
And much more
Strategic Database
& AI/ML ISV Partner
Available in Google Marketplace
Only native GCP Graph offering
Vertex AI and Neo4j product alignment
BigQuery Connector
GCP Industry Solution Partner
GCP Console Integration
And much more
Data & Analytics
ISV Partner
Available in Azure Marketplace
Gold Cloud Platform partner
O365 Knowledge Graph Product
Group partner
Synapse Connector
And much more
24

Fully-managed SaaS
Consumption-based pricing
Cloud-native
Self-service deployment
No access to underlying
infrastructure and systems
White-glove managed service
by Neo4j experts
Fully customizable deployment
model and service levels
Operate In own data centers
or Virtual Private Cloud
For private and hybrid
cloud, or on-prem
Bring your own license
Full control of your environment
Run in any cloud, in your account
Flexible Deployment Models
25
Database-as-a-Service Self-hosted
Cloud Managed
Services
25

Neo4j means graph
26

27
Merci!

Leveraging Connected Data with Graph Technology

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