The Data Platform for Today's Intelligent Applications.pdf

© 2022 Neo4j, Inc. All rights reserved.
The Data Platform for
Today’s Intelligent
Applications
Dave Packer
Vice President, Product and Customer Marketing

2
Worldwide Supply Chain Problems

3

4
And numerous other
foremost challenges solved …
With Deep Data Context,
Powered by Graph Technology

5
Graph technology uniﬁes data relationships in a more
intuitive, connected state, unlocking deeper context
People
Employees, Customers,
Suppliers, Partners, Inﬂuencers
Transactions
Purchases, Payments,
Bookings, eCommerce
Knowledge
Enterprise / Domain content, Risk
Management, Supply Chain
Shifting from data-driven to intelligence-driven

Relational Databases
Don’t handle
relationships well
Other NOSQL Databases
Don’t handle
relationships at all
Graph Databases
Natively store,
query relationships
Graph technology unlocks new data possibilities
“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 Staﬀ Engineer
6

Graph technology is fueling
discovery and transformation in every ﬁeld
Decision
Analysis
Customer
Experience
Data
Uniﬁcation
Personalization Discovery
Fraud Prevention
Network Analysis
Forecasting
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
7

1986 Now
SQL GQL
The ﬁrst standardized database language in 40 years.
“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 Tech Trends in Data and Analytics, 16 Feb 2021
Rita Sallam et al.
Graph Databases: Fastest Growing Category
Source: DB-Engines
8

160M+ Downloads
250K+ Devs & Data Scientists
Neo4j: Helping the World Make Sense of their Data
$390M Series F (June 2021)
Largest investment in Database history
The Most Trusted
Graph Data Platform
7 of the World’s Top 10 Retailers
3 of the Top 5 Aircraft Manufacturers
All of North America’s Top 20 Banks
7 of the Top 10 Telcos
Graph market leader; 1000s of
deployments around the globe
9

Neo4j: A Rich History of Graph Innovation
10
● Graph-RBAC Security, the First and
Most Advanced of Its Kind
● First Native & Fully Integrated Graph
Data Science Oﬀering
● First In-Graph Machine Learning
Technology
● Neo4j Fabric, the First Enterprise Graph
Scaling Architecture for Sharding &
Federation
● Transactional-Analytic Hybrid Clusters
● Autonomous Clustering
● openCypher: the De Facto Standard
Open Graph Query Language
● Causal Clustering w/Read Replicas,
Schema, Language Drivers, more…
● Graph Algorithms for Data Science
● Rich User Tooling, Incl. Bloom for
No-Code Visual Data Exploration
● Active Participant in ISO GQL Standard,
initiated by Neo4j
● AuraDB: First Native Graph DB
as-a-Service
● Pioneered the Modern Graph Database
Category
● First Native Graph Database:
Open Source, ACID Transactions, Built
for Property Graphs
● Introduced Cypher Graph Query
Language
● Evolved Property Graph Model with
Labels, Geospatial & More
● Early DBPaaS MVP via Heroku
2010 2015 2020

11
The leading
Graph Data Platform
for Today’s
Intelligent
Applications
The Forrester Wave™
for Graph Data Platforms, Q4 2020
#1 Most Popular
Graph Database with Developers
200k+
Developers

Neo4j Graph Data Platform
12

Visual Graph
Explorer
Interactive
Query Tools
API
Libraries
Application
Frameworks
Graph Data
Science
Language
Interfaces
13
BUSINESS
USERS
DEVELOPERS
DATA
SCIENTISTS
DATA
ANALYSTS
Data Sources
Graph
Transactions
Graph
Analytics
Native Graph Database
The foundation of the Neo4j platform; delivers enterprise-scale and
performance, security, and data integrity for transaction and
analytical workloads.
Data Science and Analytics
Explorative tools, rich algorithm library, and Integrated supervised
Machine Learning framework.
Development Tools & Frameworks
Tooling, APIs, query builder, multi-language support for development,
admin, modeling, and rapid prototyping needs.
Discovery & Visualization
Code-free querying, data modeling and exploration tools for data
scientists, developers, and analysts.
Graph Query Language Support
Cypher & openCypher; Ongoing leadership and standards work
(GQL) to establish lingua franca for graphs.
Ecosystem & Integrations
Rich ecosystem of tech and integration partners. Ingestion tools
(JDBC, Kafka, Spark, BI Tools, etc.) for bulk and streaming needs.
Runs Anywhere
Deploy as-a-Service (AuraDB) or self-hosted within your cloud of
choice (AWS, GCP, Azure) via their marketplace, or on-premises.
Graph Database
Data Connectors

Engineering Expertise
>800 person-years of development
investment
First mover advantage
Maturity, Most enterprise deployments
Largest community
Growing at 80%+ YoY
Market Leading Innovation & Capabilities
Transactional
+
Analytics
Workloads
Native Graph
Architecture
+
ACID
+
Schema
Flexible
In-Memory
Graph
Processing
for
Algorithms
and ML
Rich and
Powerful
Tools and
Integrations
Robust
Enterprise-
Grade
Security
Runs
Anywhere

Neo4j Graph
Database
15
Neo4j Graph
Data Science

Flexible and Intuitive Modeling and Queries
Whiteboard Model = Physical Model
Flexible, Schema Optional
Cypher Query Language
Easy, Intuitive and Powerful

17
Autonomous Clustering
Cloud-ready architecture
for global clusters
Fabric
Unlimited scalability
for sharded and federated graphs
Query multiple business graphs
Chain queries for sophisticated real-time analysis
Hybrid cloud queries
Elastically scale up and down on demand for extreme
performance, guaranteed availability with consistency
Scale clusters to 100s of machines
One of the most sophisticated clustering
architectures in the database industry

Rich Tooling For Fast and Easy Development
Local database for rapid dev Visualize and explore your data API-driven intelligent applications
Query editor and results visualizer
data
Importer
Code-free data loader
ops
manager
Centralized management

19
Full Breadth of Connector & Language Support
Neo4j BI
Connector
Apache Spark
Connector
Apache Kafka
Connector
Data Warehouse
Connector
Java Python .NET
JavaScript Go
Oﬃcial Language Drivers for Top Programming Languages & Frameworks
Recently released! Apache Arrow (2M - 30M rec/sec ingest per graph)

Fully-Managed, Cloud-Native
Graph Database as a Service
FREE PROFESSIONAL ENTERPRISE
Coming Soon
● Real-time Performance at Scale
● Automatic Upgrades, Patches, Backups
● Scale on Demand, No Downtime
● High Availability
● Multi Cloud, Any Region
● Enterprise-grade Security
● Simple Capacity-Based Pricing

Enterprise Grade Security and Compliance
Single
Sign-On
Secure
Development
Practices
Dedicated
VPC
Role-Based
&
Schema-Based
Access Control
Encryption
(At-Rest, In-Transit,
and Intra Cluster)

Neo4j Graph
Database
22
Neo4j Graph
Data Science

What’s important? What’s unusual? What’s next?
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Knows
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Graph Data Science Helps
Make Sense of Your Data Relationships
Explore the hidden patterns and features in your data

24
Graph Data Science Maturity Model
Graph Native
Machine Learning
Learn features in your graph
that you don’t even know are
important yet using
embeddings.
Predict links, labels, and
missing data with in-graph
supervised ML models.
Identify associations,
anomalies, and trends using
unsupervised machine learning.
Graph Algorithms
Knowledge Graphs
Find the patterns you’re looking
for in connected data

25
Source: Dimensions Knowledge System
AI Research Papers
Featuring Graph
“50% of inquiries on the
topic of AI involve
discussion of the use of
graph technology.”
Top 10 Tech Trends in Data and Analytics 2021

26
The easiest graph
data science
platform
Easy to use
● Automated MLOps
● Runs Anywhere
● Cloud Commitments
Built by data
scientists, for data
scientists
Data Scientists
● Native Python Client
● 65+ Graph Algos
● ML Pipelines
Go to production
with speed, security,
and scale
Enterprise
Ready
● 8M Objects/sec Load
● RBAC Security
● Designed to Scale
Fits into your data
stack and pipeline
Ecosystem
● BI tools, Apache Spark,
Kafka, Data Warehouses
● Vertex AI, SageMaker,
Synapse
Improve Models and Answer Big Questions with
Neo4j Graph Data Science
26

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The Largest Catalog of
Graph Algorithms
Pathfinding
& Search
Centrality &
Importance
Community
Detection
Supervised
Machine
Learning
Heuristic
Link
Prediction Similarity
Graph
Embeddings And more …
Over 65 Pretuned, Parallelized Algorithms
Neo4j Graph Data Science
Native Graph Catalog and
Analytics Workspace
Iterate fast with diﬀerent data sets,
data models, persist and version
trained models
Graph Embeddings for
Machine Learning
Summarize the enhanced explicit
knowledge of a graph

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Graph Data Science
As-a-Service
Handles all DB management for you
Simple to scale up or down
Paused instance to save
Consumption-based pricing, starts
at $1/hour
Enterprise ready, with fully
managed infrastructure, updates,
and patches

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● 300M pricing operations per day
● 10x transaction throughput on half the
hardware compared to Oracle, the
database replaced
● Large postal service with over 500k
employees
● Route 7M+ packages daily, 5000+
routing operations per second at peak
Pricing Engine, Real-Time Package Routing, Real-Time
Neo4j Powering Transformative Solutions Across Industries
29
Patient Journey Analytics
● Early intervention with 3 yrs of visits, tests
& diagnosis, 10s of Billions of records
● Finding similarities in patient journeys
● Graph algorithms for identifying
communities & best intervention points

Powering Impactful Solutions Across Industries
Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Identity & Access
Management
Risk &
Compliance
Manufacturing
Telecom Government
Healthcare
Financial Services
Retail
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An objective study of Neo4j’s
business value with our
customers
Resources
Forrester TEI Study: https://neo4j.com/whitepapers/forrester-total-economic-impact/
Forrester Wave -- Neo4j is a Leader in Graph:
https://neo4j.com/whitepapers/forrester-wave-graph-data-platforms/
417% ROI
Neo4j pays for itself more than 4x in the span of three years
$2.2M increased revenue
Improved business results of $2.2M over three years on average
60% faster time-to-value
Accelerated time-to-value (TTV) up to 60%
$1.8M in savings
Digital transformation cost savings of over $1.8M over three years
Forrester
Total Economic
Impact Study
“It’s just like you’re building an
airplane and you said, ‘Oh, I have a
great steam engine. Let’s try with that
ﬁrst because that’s what we use
everywhere.’ But you need a diﬀerent
thing. So what’s the comparison of
steam engines versus jet engines for
aircraft? There’s no real comparison.”
Principal architect, Financial Services

Cloud Providers
Global System
Integrators
Technology Solution OEM
A Global Ecosystem of Partners

The Data Platform for Today's Intelligent Applications.pdf

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