The Art of the Possible with Graph Technology

Oct 2023
Neha Bajwa

1. © 2023 Neo4j, Inc. All rights reserved.© 2023 Neo4j, Inc. All rights reserved.
The Art of The Possible
with
Graph Technology
1
F R A N K F U R T
Neha Bajwa
Vice President, Product Marketing

2. © 2023 Neo4j, Inc. All rights reserved.
The world is changing

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The world is changing
As things get more connected, data does too

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The world is changing
Time to insight is a competitive advantage

5. © 2023 Neo4j, Inc. All rights reserved.Gen AIFraudSupply ChainsDrug DiscoveryExploring Space
We’re trying to solve hard problems

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The insights are hidden
in the connections

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Uncovering relationships in connected data is key to
answering the most critical questions
What’s important?
What’s unusual?
What’s next?

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Uncovering relationships in connected data is driving
game-changing innovation

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Unlocked real-time visibility
across its fleet of 20K
tractors and over 100K trailers
and containers. By modeling
equipment as a graph, they
were able to optimize routes,
reduce costs and emissions,
and improve driver safety.
6 million
fewer empty miles
per year

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Most organizations still struggle to manage and
understand relationshipsin connected data
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Our Reality Today

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Past data approaches can’t
tackle today’s challenges

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Legacy approaches are not optimized to handle
the shift toconnected data

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Imagine you have to
“normalize” this data
into a relational
databasewith SQL

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Relational Databases
Don’thandle relationships well
●Not well adapted to interconnected semi-structure
●Schema rigidity limits business agility
●Relationship queries require painful SQL & joins
●Practically limited to three degrees of separation
Other NoSQL Databases
Don’thandle relationships at all
●Built to scale simple data (store & retrieve)
●No language or structures for handling relationships:
joins done through the application
●Lack of ACID makes graph transactions impossible
Graph Databases
Nativelystore, query relationships
●Data model purpose-built for graphs
●Powerful balance of schema flexibility & structure
●Highly powerful & productive query language
●Queries run 1000x faster at scale, up to 1000+
degrees of separation
“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
Different Types Of Relationships require
Graph Databases

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Relational Database
Person Person-Friend Friend
Native Graph Database
At write time
Data is .connected.
as it is stored
At read time
.Lightning-fast.retrieval of data and
relationships via pointer chasing
Graph Databases Natively Store and Query Relationships:
Fast, Flexible, Scalable

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Performance Advantage of Graph as # of Joins Increase
From Minutes to Milliseconds
Connectedness and Size of Data Set
Response Time
Relational and
other NoSQL
databases
Native Graph Database
1000x Advantage
5+ hops
3+ degrees
Thousands of connections0 to 2 hops
0 to 3 degrees
Few connections

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Built for Operational and Analytical Workloads
Graph Transactions,
Storage & Querying Graph Analytics, ML,
& Data Science
Intelligent Operational SystemsBetter Predictions for Analytics
17

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Graph Analytics And Data Science
Iterate fast with different
data sets & models,
version trained models.
The Largest Catalog of
Graph AlgorithmsNative Graph Catalog and
Analytics Workspace
Graph Vector Embeddings
for Machine Learning
Pathfinding
& Search
CentralityCommunity
Detection
Machine
Learning
Link
Prediction
SimilarityEmbeddingsAnd more …
Over 65 pretuned,
parallelized algorithms.
Bring the context of your
connected data into a format that
other pipelines can ingest.

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Machine Learning Pipeline
Plays
Lives_in
In_sport
Likes
Fan_of
Plays_fo
r
Knows
Knows
Knows
Knows
Explore the hidden patterns and features in your data
What’s important?What’s unusual?What’s next?
Answering the Most Critical Questions

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Grounding LLMs with
Knowledge Graphs
Reduce hallucinations
by anchoring gen AI
to facts and domain
knowledge
+
Combine explicit and implicit relationships
for reliable and contextual answers.

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Knowledge Graphs: A Foundational Technology
Improving LLMs
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API
Knowledge Graph
Aura Enterprise Edition
Graph Data
Science
Graph DB
Knowledge Apps
Information
Extraction &
Ingestion
Structured
Unstructured
Ontologies
GCP Vertex AI
Data
Sources API Layer
Customer Service
Ticket Triaging
Recommendations
News Content &
Discovery
Enterprise
Knowledge Search
Patient
Prioritization
Clinical Decision
Support Systems
Pharmacovigilance
Health Assistants
FAQ Bots
LLMs
Amazon
SageMaker
AzureML
LLMsBloom

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Deploy Anywhere
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
Graph-as-a-Service Self-hostedCloud Managed Services

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Enabling extraordinary outcomes
Powering applications that are impossible
with other technologies

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Across all Industries

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The future is relationship-first

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The future is relationship-first
Rethink what’s possible. Start building

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250K data pros
Join our
Global Community
Enroll in
GraphAcademy
20K completed courses
Attend
NODES 2023
24 hours, 10K+ attendees
OCT 26th

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Thank you!
Contact us at
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