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Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Neo4j: The Fastest Path to
Scalable Real-Time Analytics
Dr. Jim Webber, Chief Scientist
Neo4j
Neo4j, Inc. All rights reserved 2021
2
175 ZB
Data Generated by 2025
(IDC)
55%
Becomes dark, untapped
data
Data is growing by 3X
every year, and
analyzing any data in
place and in real time is
getting highly complex.
2-3x
Growth per year
Over 2.5 Exabytes
Per Day
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Tapping into this Data
Effectively Enables Real-Time
Analytics at Massive Scale
But Real-Time Analytics isn’t
Easy:
● Data is often stored stripped of its
relationship context, to find its deeper value
and meaning
● Legacy technologies complicate the
analysis process
● Rigid schema in databases
● Terabytes, Petabytes of data analysis
needs millisecond response
● Rapid advancements in data modeling
require greater nimbleness and data
flexibility
Neo4j, Inc. All rights reserved 2021
4
4
Rethinking How Data is Harnessed
Today’s biggest advancements and
innovations are being driven by
discovering, and understanding the
deeper relationships and connections
in data, in real-time and at scale...
Fraud Detection
Logistics
Cancer Research
Customer 360
Supply Chain
Health Informatics
Money Laundering
IT Operations
Neo4j, Inc. All rights reserved 2021
5
Data-Accelerated Real-Time Analytics
Activate
Scale
Unlock
with AI and machine learning
Connections inside your data
Big and cloud-first developer agility
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Activate
Scale
Unlock
with AI and machine learning
Connections inside your data
Big and cloud-first developer agility
Outcome- Build Intelligent
Applications Faster
Neo4j, Inc. All rights reserved 2021
Connected Data: The Foundation for Disruptive Evolution
Neo4j, Inc. All rights reserved 2021
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 Graph
Databases and
Algorithms
Neo4j, Inc. All rights reserved 2021
9
Graph Keeps Data in its Natural, Connected State
2010+
NoSQL Database
Scale-out, simple model store/retrieve
Optimized for application-driven, volume throughput
Relational Database
Structured, schema-based store/retrieve
Optimized for real-time transactional processing/reporting
1980+
Graph Database
Flexible, scale-out store/retrieve + analytics
Optimized for data connections, real-time transactions and analytics
2017+
First ISO standard database
language in 40 years.
Don’t handle relationships well
Practically limited to three degrees of separation
Don’t handle relationships at all
No language or structures for handling relationships:
joins done through the application
Natively store & query relationships
Queries run 1000x faster at scale, up to 1000+ hops
GQL
App
Based
SQL
Neo4j, Inc. All rights reserved 2021
10
Value in Data Relationships
Neo4j, Inc. All rights reserved 2021
Post
Profile Post
Post
Post
User Name
People Places Topics
Awards Activity
Calendar
Popular
Topics
Person Forum
Post
Tag
City,
Country
HAS_CREATOR
IS_ LOCATED_IN CONTAINER_OF
HAS_TAG
Evolving the Schema is EASY
“Flexible” Data Model
Easier to understand, evolve and collaborate
Neo4j, Inc. All rights reserved 2021
Value in Relationships has Created a Graph DBMS Market
Popularity Changes
© 2021, DB-Engines.com
12
400
600
800
1000
1200
“Using graph techniques at scale, will form
the foundation of modern data and
analytics.”
13
Top 10 Trends in Data and Analytics, 2020
Neo4j, Inc. All rights reserved 2021
14
Graph Databases Unlock Data-Context for
Richer Insights, Better Decisions, and Faster Innovation
Shifting from Data-Driven to Intelligence-Driven
Bought
B
ou
gh
t
V
i
e
w
e
d
R
e
t
u
r
n
e
d
Bought
K
n
o
w
s
Knows
Knows
K
n
o
w
s
Pl
ay
s
Lives_in
In_sport
Likes
F
a
n
_
o
f
Plays_for
People
E.g., Employees, Customers,
Suppliers, Partners, Influencers
Transactions
E.g., Risk management, Supply chain,
Payments
Knowledge
E.g. Enterprise content, Knowledgebase,
eCommerce content
Neo4j, Inc. All rights reserved 2021
Graphs Fueling Discovery and Transformation
in Every Field
Decision Analysis Customer Experience Data Unification Personalization Discovery
Fraud Prevention
Network Analysis
Forecasting
Patient/Customer Journey
Behavior Prediction
Data Disambiguation
Operations Optimization
Customers/Data 360
Compliance
Product Recommendations
Media and Advertising
Personalized Health
Drug Discovery
Product/Process Innovation
Intelligence & Security
Neo4j, Inc. All rights reserved 2021
16
The Forrester Wave™
for Graph Data Platforms, Q4 2020.
The Leading Graph Platform for Today’s Intelligent
Applications
“Neo4j is the clear market
leader in the graph space.
It has the most users, it uses
and drives a widely
adopted query language. In
many respects, it has
consistently been a lot more
innovative than its
competitors.”
June, 2020 - Bloor InBrief
#1 Most Popular Graph Database
with Developers
200k+
Developers
Neo4j, Inc. All rights reserved 2021
Blueprint: Building a Graph Powered Application for
Real-time Analytics
Neo4j GraphQL Library
React/ Angular/ Vue/ Svelte
Front-end development
Query/
Visualize/
Debug
Neo4j Browser
Neo4j Bloom
Neo4j Desktop
Data tools
Tableau/
Looker/
TIBCO Spotfire
Neo4j
BI-Connector
Business Intelligence
Dev/ Test/ Production
Neo4j Aura
Deployment
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Activate
Scale
Unlock
with AI and machine learning
Connections inside your data
Big and cloud-first developer agility
Outcome- Get deeper, actionable
insights
“50% of Gartner inquiries on the topic of AI
involve discussion of the use of graph
technology.”
Top 10 Tech Trends in Data and Analytics, 2021
Neo4j, Inc. All rights reserved 2021
20
20
Top 10 Tech Trends in Data and Analytics, 16 Feb 2021
According to Gartner, “Graphs form the
foundation of modern D&A, with
capabilities to enhance and improve user
collaboration, ML models and explainable
AI.
The recent Gartner AI in Organizations
Survey demonstrates that graph
techniques are increasingly prevalent
as AI maturity grows, going from 13%
adoption when AI maturity is lowest to
48% when maturity is highest.”
AI Research Papers
Featuring Graph
Source: Dimensions Knowledge System
4x
Increase in
traffic to
Neo4j GDS
page in
2H-2020
Analytics & Data Science Interest
Exploding in Neo4j Community
100k+
Practicing data
scientists engaged
with Neo4j
+210k
downloads
Neo4j, Inc. All rights reserved 2021
Graph
Application
Development
Graph Data
Science
Neo4j, Inc. All rights reserved 2021
Queries
Find the patterns you know exist
Machine Learning
Uncover trends and make
predictions
Visualization
Explore, collaborate, and explain
Graphs & Data Science
Analytics
Feature
Engineering
Data
Exploration
Graph
Data
Science
Queries
Machine Learning Visualization
Neo4j, Inc. All rights reserved 2021
Person Forum
Post
Comment
Tag TagClass
City
Country
HAS_CREATOR
LIKES
IS_ LOCATED_IN
REPLY_OF
CONTAINER_OF
Find your friends
Help users discover
people they know or
might like to know
Community Detection, Similarity
Discover what's
buzzing
Tune in to global,
community or topical
trends.
Centrality
Driving engagement
Nudge users along
paths to success
Path Finding, Graph Embeddings
Neo4j, Inc. All rights reserved 2021
Community
Detection
Neo4j’s Graph Data Science Library
Unsupervised Graph Algorithms
Clustering
Dimension Reduction
(generalization)
Association
Which parts of my graph are
connected to each other?
Which nodes are
most similar?
How important is each node?
Supervised Machine Learning
Node Classification
Link Prediction
Where will connections
form next?
What’s the label
for this node?
Centrality
Embeddings
Similarity
Pathfinding
More Algos than
any other vendor
ONLY in neo4j
Neo4j, Inc. All rights reserved 2021
More, Better, Faster Graph Algorithms
Pathfinding &
Search
• Shortest Path
• Single-Source Shortest Path
• All Pairs Shortest Path
• A* Shortest Path
• Yen’s K Shortest Path
• Minimum Weight Spanning Tree
• K-Spanning Tree (MST)
• Random Walk
• Breadth & Depth First Search
Centrality &
Importance
• Degree Centrality
• Closeness Centrality
• Harmonic Centrality
• Betweenness Centrality & Approx.
• PageRank
• Personalized PageRank
• ArticleRank
• Eigenvector Centrality
• Hyperlink Induced Topic Search (HITS)
• Influence Maximization (Greedy, CELF)
Community
Detection
• Triangle Count
• Local Clustering Coefficient
• Connected Components (Union Find)
• Strongly Connected Components
• Label Propagation
• Louvain Modularity
• K-1 Coloring
• Modularity Optimization
• Speaker Listener Label Propagation
• Approximate Max K-Cut
Heuristic Link
Prediction
• Adamic Adar
• Common Neighbors
• Preferential Attachment
• Resource Allocations
• Same Community
• Total Neighbors
Similarity
• Node Similarity
• K-Nearest Neighbors (KNN)
• Jaccard Similarity
• Cosine Similarity
• Pearson Similarity
• Euclidean Distance
• Approximate Nearest Neighbors (ANN)
Graph
Embeddings
• Node2Vec
• FastRP
• FastRPExtended
• GraphSAGE
Neo4j, Inc. All rights reserved 2021
Blueprint: Leveraging Graph Data Science For Deeper,
Actionable Insights
Discover patterns/
Predict growth/
Enrich data
Neo4j GDS
Deep business
insight
Visualize Data & Models
Neo4j Bloom
Explore and explain
Connect
Data Integration
Neo4j Connector
for Kafka/
for Spark
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Activate
Scale
Unlock
with AI and machine learning
Connections inside your data
Big and cloud-first developer agility
Outcome- Scale limitless with no data
compromise in real-time
Neo4j, Inc. All rights reserved 2021
Plan for Scale
TINKERING
1
THE BLADE YEARS
2
THE GROWTH
INFLECTION POINT
3
SURGING
GROWTH
4
REVENUE
START
Neo4j, Inc. All rights reserved 2021
F
A
H
R
Z
G
R
L
Q
M
S
W
T
N
B
Sharding in Other Databases
Shard 1 Shard 2 Shard 3
A
GET A
GET
Neo4j, Inc. All rights reserved 2021
30
Approach #1: Consistent Hashing
A
B
Shard 1 Shard 2 Shard 3
MATCH A B
MATCH A B
Neo4j, Inc. All rights reserved 2021
Approach #2: Graph Native Sharding
Size
Unbounded Size
Write
Concurrent Writes
Read
Constant Read Performance
Invest in
Data Modeling
Get These Magical
Properties:
Neo4j, Inc. All rights reserved 2021
Graphs of Activity & Behavior
10 Billion → Trillions
Graphs of Transactions
100 Million → 100 Billion
Graphs of
Things
1M → 1B
Graph Sizes ⇒ Scaling Strategy
Assets
Actions
Subjects
Replicated Clusters
Large Replicated Clusters / Scale-Out
Scale-Out & Sharding
KEY to Scaling Strategy
Neo4j, Inc. All rights reserved 2021
Neo4j: Run Anywhere, Everywhere at Scale
Self-Hosted Managed Services
Neo4j as a Fully-Managed Cloud-Native Service
Self-serve
⇅
Sales-assisted
Direct
⇅
Cloud Marketplace
Multi-cloud
⇅
Any Region
Workstation Data Center Private Cloud Hybrid Cloud Public Cloud Managed Service
Customer’s public,
private or hybrid cloud
environment
Neo4j, Inc. All rights reserved 2021
34
A Free Forever
Tier of Neo4j Aura
Sign up now at
neo4j.com/aura
Free
Neo4j, Inc. All rights reserved 2021
35
Data-Accelerated Real-Time Analytics at Scale
Activate
Scale
Unlock
with AI and machine learning
Connections inside your data
Big and cloud-first developer agility
Outcome- Build Intelligent
Applications Faster
Outcome- Get deeper, actionable
insights
Outcome- Scale limitless with no data compromise in real-time
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
37
Thank you!
Sign up now at
neo4j.com/aura
Free Tier, Free Forever!

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Neo4j – The Fastest Path to Scalable Real-Time Analytics

  • 1. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 Neo4j: The Fastest Path to Scalable Real-Time Analytics Dr. Jim Webber, Chief Scientist Neo4j
  • 2. Neo4j, Inc. All rights reserved 2021 2 175 ZB Data Generated by 2025 (IDC) 55% Becomes dark, untapped data Data is growing by 3X every year, and analyzing any data in place and in real time is getting highly complex. 2-3x Growth per year Over 2.5 Exabytes Per Day
  • 3. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 Tapping into this Data Effectively Enables Real-Time Analytics at Massive Scale But Real-Time Analytics isn’t Easy: ● Data is often stored stripped of its relationship context, to find its deeper value and meaning ● Legacy technologies complicate the analysis process ● Rigid schema in databases ● Terabytes, Petabytes of data analysis needs millisecond response ● Rapid advancements in data modeling require greater nimbleness and data flexibility
  • 4. Neo4j, Inc. All rights reserved 2021 4 4 Rethinking How Data is Harnessed Today’s biggest advancements and innovations are being driven by discovering, and understanding the deeper relationships and connections in data, in real-time and at scale... Fraud Detection Logistics Cancer Research Customer 360 Supply Chain Health Informatics Money Laundering IT Operations
  • 5. Neo4j, Inc. All rights reserved 2021 5 Data-Accelerated Real-Time Analytics Activate Scale Unlock with AI and machine learning Connections inside your data Big and cloud-first developer agility
  • 6. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 Activate Scale Unlock with AI and machine learning Connections inside your data Big and cloud-first developer agility Outcome- Build Intelligent Applications Faster
  • 7. Neo4j, Inc. All rights reserved 2021 Connected Data: The Foundation for Disruptive Evolution
  • 8. Neo4j, Inc. All rights reserved 2021 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 Graph Databases and Algorithms
  • 9. Neo4j, Inc. All rights reserved 2021 9 Graph Keeps Data in its Natural, Connected State 2010+ NoSQL Database Scale-out, simple model store/retrieve Optimized for application-driven, volume throughput Relational Database Structured, schema-based store/retrieve Optimized for real-time transactional processing/reporting 1980+ Graph Database Flexible, scale-out store/retrieve + analytics Optimized for data connections, real-time transactions and analytics 2017+ First ISO standard database language in 40 years. Don’t handle relationships well Practically limited to three degrees of separation Don’t handle relationships at all No language or structures for handling relationships: joins done through the application Natively store & query relationships Queries run 1000x faster at scale, up to 1000+ hops GQL App Based SQL
  • 10. Neo4j, Inc. All rights reserved 2021 10 Value in Data Relationships
  • 11. Neo4j, Inc. All rights reserved 2021 Post Profile Post Post Post User Name People Places Topics Awards Activity Calendar Popular Topics Person Forum Post Tag City, Country HAS_CREATOR IS_ LOCATED_IN CONTAINER_OF HAS_TAG Evolving the Schema is EASY “Flexible” Data Model Easier to understand, evolve and collaborate
  • 12. Neo4j, Inc. All rights reserved 2021 Value in Relationships has Created a Graph DBMS Market Popularity Changes © 2021, DB-Engines.com 12 400 600 800 1000 1200
  • 13. “Using graph techniques at scale, will form the foundation of modern data and analytics.” 13 Top 10 Trends in Data and Analytics, 2020
  • 14. Neo4j, Inc. All rights reserved 2021 14 Graph Databases Unlock Data-Context for Richer Insights, Better Decisions, and Faster Innovation Shifting from Data-Driven to Intelligence-Driven Bought B ou gh t V i e w e d R e t u r n e d Bought K n o w s Knows Knows K n o w s Pl ay s Lives_in In_sport Likes F a n _ o f Plays_for People E.g., Employees, Customers, Suppliers, Partners, Influencers Transactions E.g., Risk management, Supply chain, Payments Knowledge E.g. Enterprise content, Knowledgebase, eCommerce content
  • 15. Neo4j, Inc. All rights reserved 2021 Graphs Fueling Discovery and Transformation in Every Field Decision Analysis Customer Experience Data Unification Personalization Discovery Fraud Prevention Network Analysis Forecasting Patient/Customer Journey Behavior Prediction Data Disambiguation Operations Optimization Customers/Data 360 Compliance Product Recommendations Media and Advertising Personalized Health Drug Discovery Product/Process Innovation Intelligence & Security
  • 16. Neo4j, Inc. All rights reserved 2021 16 The Forrester Wave™ for Graph Data Platforms, Q4 2020. The Leading Graph Platform for Today’s Intelligent Applications “Neo4j is the clear market leader in the graph space. It has the most users, it uses and drives a widely adopted query language. In many respects, it has consistently been a lot more innovative than its competitors.” June, 2020 - Bloor InBrief #1 Most Popular Graph Database with Developers 200k+ Developers
  • 17. Neo4j, Inc. All rights reserved 2021 Blueprint: Building a Graph Powered Application for Real-time Analytics Neo4j GraphQL Library React/ Angular/ Vue/ Svelte Front-end development Query/ Visualize/ Debug Neo4j Browser Neo4j Bloom Neo4j Desktop Data tools Tableau/ Looker/ TIBCO Spotfire Neo4j BI-Connector Business Intelligence Dev/ Test/ Production Neo4j Aura Deployment
  • 18. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 Activate Scale Unlock with AI and machine learning Connections inside your data Big and cloud-first developer agility Outcome- Get deeper, actionable insights
  • 19. “50% of Gartner inquiries on the topic of AI involve discussion of the use of graph technology.” Top 10 Tech Trends in Data and Analytics, 2021
  • 20. Neo4j, Inc. All rights reserved 2021 20 20 Top 10 Tech Trends in Data and Analytics, 16 Feb 2021 According to Gartner, “Graphs form the foundation of modern D&A, with capabilities to enhance and improve user collaboration, ML models and explainable AI. The recent Gartner AI in Organizations Survey demonstrates that graph techniques are increasingly prevalent as AI maturity grows, going from 13% adoption when AI maturity is lowest to 48% when maturity is highest.” AI Research Papers Featuring Graph Source: Dimensions Knowledge System 4x Increase in traffic to Neo4j GDS page in 2H-2020 Analytics & Data Science Interest Exploding in Neo4j Community 100k+ Practicing data scientists engaged with Neo4j +210k downloads
  • 21. Neo4j, Inc. All rights reserved 2021 Graph Application Development Graph Data Science
  • 22. Neo4j, Inc. All rights reserved 2021 Queries Find the patterns you know exist Machine Learning Uncover trends and make predictions Visualization Explore, collaborate, and explain Graphs & Data Science Analytics Feature Engineering Data Exploration Graph Data Science Queries Machine Learning Visualization
  • 23. Neo4j, Inc. All rights reserved 2021 Person Forum Post Comment Tag TagClass City Country HAS_CREATOR LIKES IS_ LOCATED_IN REPLY_OF CONTAINER_OF Find your friends Help users discover people they know or might like to know Community Detection, Similarity Discover what's buzzing Tune in to global, community or topical trends. Centrality Driving engagement Nudge users along paths to success Path Finding, Graph Embeddings
  • 24. Neo4j, Inc. All rights reserved 2021 Community Detection Neo4j’s Graph Data Science Library Unsupervised Graph Algorithms Clustering Dimension Reduction (generalization) Association Which parts of my graph are connected to each other? Which nodes are most similar? How important is each node? Supervised Machine Learning Node Classification Link Prediction Where will connections form next? What’s the label for this node? Centrality Embeddings Similarity Pathfinding More Algos than any other vendor ONLY in neo4j
  • 25. Neo4j, Inc. All rights reserved 2021 More, Better, Faster Graph Algorithms Pathfinding & Search • Shortest Path • Single-Source Shortest Path • All Pairs Shortest Path • A* Shortest Path • Yen’s K Shortest Path • Minimum Weight Spanning Tree • K-Spanning Tree (MST) • Random Walk • Breadth & Depth First Search Centrality & Importance • Degree Centrality • Closeness Centrality • Harmonic Centrality • Betweenness Centrality & Approx. • PageRank • Personalized PageRank • ArticleRank • Eigenvector Centrality • Hyperlink Induced Topic Search (HITS) • Influence Maximization (Greedy, CELF) Community Detection • Triangle Count • Local Clustering Coefficient • Connected Components (Union Find) • Strongly Connected Components • Label Propagation • Louvain Modularity • K-1 Coloring • Modularity Optimization • Speaker Listener Label Propagation • Approximate Max K-Cut Heuristic Link Prediction • Adamic Adar • Common Neighbors • Preferential Attachment • Resource Allocations • Same Community • Total Neighbors Similarity • Node Similarity • K-Nearest Neighbors (KNN) • Jaccard Similarity • Cosine Similarity • Pearson Similarity • Euclidean Distance • Approximate Nearest Neighbors (ANN) Graph Embeddings • Node2Vec • FastRP • FastRPExtended • GraphSAGE
  • 26. Neo4j, Inc. All rights reserved 2021 Blueprint: Leveraging Graph Data Science For Deeper, Actionable Insights Discover patterns/ Predict growth/ Enrich data Neo4j GDS Deep business insight Visualize Data & Models Neo4j Bloom Explore and explain Connect Data Integration Neo4j Connector for Kafka/ for Spark
  • 27. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 Activate Scale Unlock with AI and machine learning Connections inside your data Big and cloud-first developer agility Outcome- Scale limitless with no data compromise in real-time
  • 28. Neo4j, Inc. All rights reserved 2021 Plan for Scale TINKERING 1 THE BLADE YEARS 2 THE GROWTH INFLECTION POINT 3 SURGING GROWTH 4 REVENUE START
  • 29. Neo4j, Inc. All rights reserved 2021 F A H R Z G R L Q M S W T N B Sharding in Other Databases Shard 1 Shard 2 Shard 3 A GET A GET
  • 30. Neo4j, Inc. All rights reserved 2021 30 Approach #1: Consistent Hashing A B Shard 1 Shard 2 Shard 3 MATCH A B MATCH A B
  • 31. Neo4j, Inc. All rights reserved 2021 Approach #2: Graph Native Sharding Size Unbounded Size Write Concurrent Writes Read Constant Read Performance Invest in Data Modeling Get These Magical Properties:
  • 32. Neo4j, Inc. All rights reserved 2021 Graphs of Activity & Behavior 10 Billion → Trillions Graphs of Transactions 100 Million → 100 Billion Graphs of Things 1M → 1B Graph Sizes ⇒ Scaling Strategy Assets Actions Subjects Replicated Clusters Large Replicated Clusters / Scale-Out Scale-Out & Sharding KEY to Scaling Strategy
  • 33. Neo4j, Inc. All rights reserved 2021 Neo4j: Run Anywhere, Everywhere at Scale Self-Hosted Managed Services Neo4j as a Fully-Managed Cloud-Native Service Self-serve ⇅ Sales-assisted Direct ⇅ Cloud Marketplace Multi-cloud ⇅ Any Region Workstation Data Center Private Cloud Hybrid Cloud Public Cloud Managed Service Customer’s public, private or hybrid cloud environment
  • 34. Neo4j, Inc. All rights reserved 2021 34 A Free Forever Tier of Neo4j Aura Sign up now at neo4j.com/aura Free
  • 35. Neo4j, Inc. All rights reserved 2021 35 Data-Accelerated Real-Time Analytics at Scale Activate Scale Unlock with AI and machine learning Connections inside your data Big and cloud-first developer agility Outcome- Build Intelligent Applications Faster Outcome- Get deeper, actionable insights Outcome- Scale limitless with no data compromise in real-time
  • 36. Neo4j, Inc. All rights reserved 2021
  • 37. Neo4j, Inc. All rights reserved 2021 Neo4j, Inc. All rights reserved 2021 37 Thank you! Sign up now at neo4j.com/aura Free Tier, Free Forever!