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Neo4j Graph Data platform
Making your data more intelligent
Philip Rathle, VP Product Management, Neo4j
175 ZB
Data Generated by 2025
(IDC)
55%
Data Unquantified
and Untapped
(TRUE global intelligence Survey)
Data is the new OIL,
our greatest asset,
Now and in the
future
Yet, half of THE Data is still UNTAPPED
60%
Data remains
unconnected
(multiple)
and, unconnected Data is growing
294 BIL
4TB
5 BIL
65 BIL 4PB
Data generated each daY
(source: raconteur)
how do you harness
YOUR data to drive
business value?
datA-accelerated innovation
A UNLOCK THE CONNECTIONS INSIDE of YOUR data
C accelerate, with CLOUD-First developer agility
B activate them with AI and Machine Learning
the Connections
are as Valuable
as the Data Itself
A
connections in data are core to building
modern, intelligent applications
Personalization
Product Recommendations
Personalized Health
Media and Advertising
Decision Analysis
Fraud Prevention
Network Analysis
Forecasting
Massive
Data Integration
Customers/Data 360
Compliance
Optimize Operations
Data Science
AI & ML
Behavior Prediction
Patient/Customer Journey
Disambiguation
Data Driven
Discovery & Innovation
Drug Discovery
Intelligence & Security
Product & Process Innovation
connected data elevates use case effectiveness
The plateau of aggregate data
Use
Case
Effectiveness
(value)
Use Case Maturity (time)
Connected data potential
Your opportunity
with Graphs
graph databases: designed for connected data
RELATIONAL DATABASES
Store and retrieve data
NoSQL DATABASES
Aggregate and filter data
Connections in data
Real time storage & retrieval
Real-Time Connected Insights
Long running queries
aggregation & filtering
“Our Neo4j solution is literally thousands of times faster than the prior MySQL
solution, with queries that require 10-100 times less code” Volker Pacher, Senior
Developer
From Disparate Silos
To Cross-Silo Connections
GRaph UNLOCKS NEW LEVELS OF
APPLICATION INTELLIGENCE
“Graph Relates Everything. By
2025, graph technologies will
be used in 80% of data and
analytics innovations, up from
10% in 2021, facilitating rapid
decision making across the
enterprise”
Top 10 Trends in
Data and Analytics for 2021
“Up to 50% of Gartner inquiries on
the topic of AI involve discussion of
the use of graph technology.”
Top 10 Trends in
Data and Analytics for 2021
“Neo4j...lead[s] the pack”
Q4 2020
The Forrester Wave: Graph Data
Platforms
Impact:
business agility
“Flexible” Data Model
Easier to understand, evolve and collaborate
Minutes to “milliseconds” performance advantage
Connectedness and Size of Data Set
Response
Time
Relational and Other
NoSQL Databases
0 to 2 hops
0 to 3 degrees
Thousands of connections
Tens to hundreds of hops
Thousands of degrees
Billions of connections
1000x Advantage
at scale
Neo4j
“Minutes to milliseconds”
B
Machine Learning is Based on Graphs
6584
AI Research featuring graphs
All machine learning will SOON BE usING graphs
Machine Learning Pipeline
A
B
C
D
E
graphs in the enterprise
01
02 03
Applications
Data
ScientistS
Business
userS
Graph data science & AI/ ml
• Sentiment analysis
• Customer segmentation
• Machine learning
• Cognitive computing
• Community detection
operational Graphs
• Fraud detection
• Real-time recommendations
• Network and IT operations management
• Knowledge graphs
• Master data management
Graph Visualization
• Fraud detection
• Network and IT operations
management
• Product information management
• Risk and portfolio analysis
Power of graph visualization
Cybersecurity example - Neo4j bloom
Neo4j Graph DATA Platform
Making your data more intelligent, WHEREVER IT MAY BE
18
Development
& Administration
Analytics
Tooling
BUSINESS USERS
DEVELOPERS
ADMINS
Graph
Analytics
Graph
Transactions
Data Integration
Discovery & Visualization
DATA
ANALYSTS
DATA
SCIENTISTS
Drivers & APIs
APPLICATIONS
AI
openCypher &
ISO GQL
Cloud
RUNS ANYWHERE:
Cloud-first AGILITY
C
Database-as-a-service
Cloud-native service
Zero administration
Pay-as-you-go
Self-service deployment
Cloud-native stack
FULLY MANAGED infraSTRUCTURE
Cloud Managed Services (CMS)
White-glove service
fully managed by Neo4j experts
Fully customizable deployment model and
service levels
Operate In own data centers
or Virtual Private Cloud
GETTING STARTED - DEPLOYMENT OPTIONS
SCALING your data YOUR WAY
Self-hosted
CHOOSE YOUR CLOUD: PRIVATE OR PUBLIC
Bring-your-own-license
Self-manageD
YOU MANAGE THE INFRASTRUCTURE & data
PRIVATE, HYBRID, PUBLIC
Graphs of Activity &
Behavior
10B - 1T+
Graph scaling with Neo4j
Graph
Scale
Graphs of Things
Graph Usage Maturity
Graphs of Transactions
100M - 100B
1M-1B
Aura, Commodity Hardware
Replicated Clusters
Aura, Commodity or Larger
Replication and/or Partitioning
CMS, Replicated Partitions (Fabric),
or “EXOTIC Hardware” (IN-MEMORY)
securing your data in neo4j
LDAP & Active
Directory
User &
Roles
Procedure
Access Controls
Kerberos SSO
Certs
Intra-Cluster
Encryption
Security
Event Logging
TLS Wire
Encryption
Schema Based
Security
your opportunity: Solve
Complex And Valuable Problems
leveraging graphs With Neo4j
STAY CONNECTED!
THANK YOU!!
Questions?

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Neo4j Graph Data Platform: Making Your Data More Intelligent

  • 1. Neo4j Graph Data platform Making your data more intelligent Philip Rathle, VP Product Management, Neo4j
  • 2. 175 ZB Data Generated by 2025 (IDC) 55% Data Unquantified and Untapped (TRUE global intelligence Survey) Data is the new OIL, our greatest asset, Now and in the future Yet, half of THE Data is still UNTAPPED 60% Data remains unconnected (multiple) and, unconnected Data is growing 294 BIL 4TB 5 BIL 65 BIL 4PB Data generated each daY (source: raconteur)
  • 3. how do you harness YOUR data to drive business value?
  • 4. datA-accelerated innovation A UNLOCK THE CONNECTIONS INSIDE of YOUR data C accelerate, with CLOUD-First developer agility B activate them with AI and Machine Learning
  • 5. the Connections are as Valuable as the Data Itself A
  • 6. connections in data are core to building modern, intelligent applications Personalization Product Recommendations Personalized Health Media and Advertising Decision Analysis Fraud Prevention Network Analysis Forecasting Massive Data Integration Customers/Data 360 Compliance Optimize Operations Data Science AI & ML Behavior Prediction Patient/Customer Journey Disambiguation Data Driven Discovery & Innovation Drug Discovery Intelligence & Security Product & Process Innovation
  • 7. connected data elevates use case effectiveness The plateau of aggregate data Use Case Effectiveness (value) Use Case Maturity (time) Connected data potential Your opportunity with Graphs
  • 8. graph databases: designed for connected data RELATIONAL DATABASES Store and retrieve data NoSQL DATABASES Aggregate and filter data Connections in data Real time storage & retrieval Real-Time Connected Insights Long running queries aggregation & filtering “Our Neo4j solution is literally thousands of times faster than the prior MySQL solution, with queries that require 10-100 times less code” Volker Pacher, Senior Developer From Disparate Silos To Cross-Silo Connections
  • 9. GRaph UNLOCKS NEW LEVELS OF APPLICATION INTELLIGENCE “Graph Relates Everything. By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise” Top 10 Trends in Data and Analytics for 2021 “Up to 50% of Gartner inquiries on the topic of AI involve discussion of the use of graph technology.” Top 10 Trends in Data and Analytics for 2021 “Neo4j...lead[s] the pack” Q4 2020 The Forrester Wave: Graph Data Platforms
  • 10. Impact: business agility “Flexible” Data Model Easier to understand, evolve and collaborate
  • 11. Minutes to “milliseconds” performance advantage Connectedness and Size of Data Set Response Time Relational and Other NoSQL Databases 0 to 2 hops 0 to 3 degrees Thousands of connections Tens to hundreds of hops Thousands of degrees Billions of connections 1000x Advantage at scale Neo4j “Minutes to milliseconds”
  • 12. B
  • 13. Machine Learning is Based on Graphs
  • 15. All machine learning will SOON BE usING graphs Machine Learning Pipeline A B C D E
  • 16. graphs in the enterprise 01 02 03 Applications Data ScientistS Business userS Graph data science & AI/ ml • Sentiment analysis • Customer segmentation • Machine learning • Cognitive computing • Community detection operational Graphs • Fraud detection • Real-time recommendations • Network and IT operations management • Knowledge graphs • Master data management Graph Visualization • Fraud detection • Network and IT operations management • Product information management • Risk and portfolio analysis
  • 17. Power of graph visualization Cybersecurity example - Neo4j bloom
  • 18. Neo4j Graph DATA Platform Making your data more intelligent, WHEREVER IT MAY BE 18 Development & Administration Analytics Tooling BUSINESS USERS DEVELOPERS ADMINS Graph Analytics Graph Transactions Data Integration Discovery & Visualization DATA ANALYSTS DATA SCIENTISTS Drivers & APIs APPLICATIONS AI openCypher & ISO GQL Cloud
  • 20. Database-as-a-service Cloud-native service Zero administration Pay-as-you-go Self-service deployment Cloud-native stack FULLY MANAGED infraSTRUCTURE Cloud Managed Services (CMS) White-glove service fully managed by Neo4j experts Fully customizable deployment model and service levels Operate In own data centers or Virtual Private Cloud GETTING STARTED - DEPLOYMENT OPTIONS SCALING your data YOUR WAY Self-hosted CHOOSE YOUR CLOUD: PRIVATE OR PUBLIC Bring-your-own-license Self-manageD YOU MANAGE THE INFRASTRUCTURE & data PRIVATE, HYBRID, PUBLIC
  • 21. Graphs of Activity & Behavior 10B - 1T+ Graph scaling with Neo4j Graph Scale Graphs of Things Graph Usage Maturity Graphs of Transactions 100M - 100B 1M-1B Aura, Commodity Hardware Replicated Clusters Aura, Commodity or Larger Replication and/or Partitioning CMS, Replicated Partitions (Fabric), or “EXOTIC Hardware” (IN-MEMORY)
  • 22. securing your data in neo4j LDAP & Active Directory User & Roles Procedure Access Controls Kerberos SSO Certs Intra-Cluster Encryption Security Event Logging TLS Wire Encryption Schema Based Security
  • 23. your opportunity: Solve Complex And Valuable Problems leveraging graphs With Neo4j
  • 24.