Neo4j Bloom is a breakthrough graph communication and visualization product that allows graph novices and experts the ability to communicate and share their work, thoughts, and plans with peers, managers, and executives. Its illustrative, codeless search to storyboard design makes it the ideal interface for non-technical project participants to share in the innovative work of their graph analytics and development teams.

1. Introducing Neo4j Bloom
1
Jeff Morris & Anurag Tandon

2. • Introduction
• Neo4j Platform
• Neo4j Bloom – Connecting new Audiences
• Bloom Overview
• Demo
2
Agenda

3. Neo4j Introduction
3

4. 720+
7/10
12/25
8/10
53K+
100+
270+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers
Partners
• Creator of the Neo4j Graph Platform
• ~200 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö Sweden
• $80M in funding from Fidelity, Sunstone,
Conor, Creandum, and Greenbridge Capital
• Over 13M+ downloads & container pulls
• 270+ enterprise subscription customers
with over half with >$1B in revenue
• Over $43M bookings since Jan 2017
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs
Neo4j - The Graph Company

5. Neo4j is an enterprise-grade native graph platform that enables you to:
• Store, reveal and query data relationships
• Traverse and analyze any levels of depth in real-time
• Add context and connect new data on the fly
5
Who We Are: The Graph Platform
• Performance
• ACID Transactions
• Schema-free Agility
• Graph Algorithms
Designed, built and tested natively
for graphs from the start for:
• Developer Productivity
• Hardware Efficiency
• Global Scale
• Graph Adoption
Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization

6. 2010
2011
2012
2013
2015
2017
Frustrated with
Gremlin, Neo
invented Cypher -
Leading language
for graph queries
First open
source GA
version of a
property graph
database
O’Reilly Graph
Database —
first definitive
book for graph
professionals
Introduced
labels to
simplify graph
modeling
openCypher.org
open sourced
Cypher query
language as de
facto standard
Industry’s
1st Graph
Platform
Graph Algorithms
for data scientists
Developer’s Neo4j
Desktop
2014
Visual Graph
Query Browser
2016
Causal
Consistency for
Graphs
Neo4j—The Graph Innovator
2018
2019
Morpheus
Graph is a
unique
paradigm
Neo4j Cloud
Neo4j Cloud EAP
Neo4j Bloom visual discovery
Cypher for Apache Spark
Cypher for Gremlin
GQL Manifesto

7. Store / Retrieve
Native Graph Architecture Advantage

8. Load Data
Store / Retrieve
Native Graph Architecture Advantage

9. Load Data
Connectedness drives data value
Metcalfe’s Law of Networks (V=n2)
Store / Retrieve
Neo4j reveals
connections in
your data
Native Graph Architecture Advantage

10. Density Drives Value In Graphs
Metcalfe’s Law of the Network (V=n2)
5 hops < less Value
100’s of hops deliver
immense VALUE

11. CAR
name: “Dan”
born: May 29, 1970
twitter: “@dan”
name: “Ann”
born: Dec 5, 1975
since:
Jan 10, 2011
brand: “Volvo”
model: “V70”
Latitude: 37.5629900°
Longitude: -122.3255300°
Nodes
• Can have Labels to classify nodes
• Labels have native indexes
Relationships
• Relate nodes by type and direction
Properties
• Attributes of Nodes & Relationships
• Stored as Name/Value pairs
• Can have indexes and composite indexes
• Visibility security by user/role
Neo4j Invented the Labeled Property Graph Model
MARRIED TO
LIVES WITH
PERSON PERSON
11

12. Conceive &
Visualize
Code
Compute
Store
Non-Native Graph DB
Native Graph DB
RDBMS
Optimized for graph workloads
Connectedness Differentiates Neo4j

13. Collections-Focused
Multi-Model, Documents, Columns
& Simple Tables, Joins
Neo4j is designed for data relationships
Different Paradigms
NoSQL
Relational
DBMS
Neo4j Graph
Platform
Connections-Focused
Focused on
Data Relationships
Development Benefits
Easy model maintenance
Easy query
Deployment Benefits
Ultra high performance
Minimal resource usage

14. "Neo4j continues to
dominate the graph
database market.”
“69% of enterprises
have, or are planning to
implement graphs over
next 12 months”
October, 2017
“The most widely stated
reason in the survey for
selecting Neo4j was
to drive innovation”
February, 2018
Critical Capabilities for
DBMSA
“In fact, the rapid rise of
Neo4j and other graph
technologies may signal that
data connectedness is
indeed a separate
paradigm from the model
consolidation happening
across the rest of the
NoSQL landscape.”
March, 2018
Graph is a Unique Paradigm

15. 15
Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization
Developers
Admins
Applications Business Users
Data Analysts
Data Scientists
Enterprise Data Hub

16. Neo4j Bloom
16

17. As a thinking tool, to visually organize information
As a development tool, for working with graph data
As a communication tool, for describing what is in the graph
As an interactive tool, for exploring data relationships
As a reporting tool, for summarizing business information
As an analysis tool, for revealing critical trends,
influences and discrepancies
How is graph visualization useful?

18. 1.0
Perspective
Visualization
Exploration
Inspection
Editing
Search
18
Business view of the graph
Departmental views • Hiding PII • Styling
GPU Accelerated Visualization
High performance
physics & rendering
Direct graph interactions
Select, expand, dismiss, find paths
Node + Relationship details
Browse from neighbor to neighbor
Create, Edit, Delete
Code-free graph changes
Near-natural Language Search
Full-text search • Graph patterns
• Custom Search Phrases
Neo4j Bloom
Features

19. • High fidelity
• Scene navigation
• Property views
• NLP Search
• Search suggestions
• Saved phrase history
• Property editor
• Schema Perspectives
• Bloom chart type
Neo4j Bloom
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Communicate, discover, visualize, isolate and navigate

20. Neo4j Bloom User Interface
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• Prompted Search
• Property Browser &
editor
• Category icons and
color scheme
• Pan, Zoom & Select

21. “Find Appleby in Panama Papers Data”
21

22. 22
Neo4j Bloom 1.0 Features
Graph Perspectives a business user view of the graph
Graph Visualization high performance graph layout + rendering
Graph Exploration navigate through direct graph interaction
Graph Inspection browseable details of graph entities
Graph Editing create, duplicate, edit, delete
Graph Search extensible, natural search phrases

23. Graph Perspective
23
Manage visibility and reduce
clutter, revealing the right
information to the right users.
• Selective Property Visibility
• Selective Relationships
• Defined Entity Patterns*
Need-to-know Details
• Departmental Views
• Hide Personal Ident Info
• Structural-only Dev view
Rich Entities*
• Truck with Packages
• Person with Aliases
• Blog Post with Comments
• Component with Parts

24. 24

25. 25 Northwind Graph

26. 26 Northwind Purchasing Dept.

27. 27 Northwind Shipping Dept.

28. 28 Northwind Sales Dept.

29. 29 Northwind HR Dept.

30. 30 Northwind Customer View

31. 31
Neo4j Bloom 1.0 Features
Graph Perspectives a business user view of the graph
Graph Visualization high performance graph layout + rendering
Graph Exploration navigate through direct graph interaction
Graph Inspection browseable details of graph entities
Graph Editing create, duplicate, edit, delete
Graph Search extensible, idiomatic search phrases

32. Graph Search
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Ask Bloom what you’re looking for
using idiomatic phrases based on
the graph structure and content.
• Search Everywhere
• Find Graph Patterns
• Customize Search Phrases
“Tom Hanks”
“Tom Hanks Movies”
“From Tom Hanks to Kevin Bacon”

33. DEMO

34. 34
Fraud Detection Example
BankAc...
Account...
SSN
PhoneN...
Address
CreditC...
Unsecu...

35. 36
Law Enforcement Example

36. 38
Data Lineage Example

37. • Join us at GraphConnect 2018 at the Marriott Marquis
• September 21, 2018
• http://www.graphconnect.com
• Contact Neo4j Directly
• info@neo4j.com
• https://neo4j.com/contact-us/
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For Further Information

38. Neo4j Bloom Q&A
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