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Introducing Neo4j Bloom
1
Jeff Morris & Anurag Tandon
•  Introduction
•  Neo4j Platform
•  Neo4j Bloom – Connecting new Audiences
•  Bloom Overview
•  Demo
2
Agenda
Neo4j Introduction
3
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
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
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
Store / Retrieve
Native Graph Architecture Advantage
Load Data
Store / Retrieve
Native Graph Architecture Advantage
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
Density Drives Value In Graphs
Metcalfe’s Law of the Network (V=n2)
5 hops < less Value
100’s of hops deliver
immense VALUE
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
Conceive &
Visualize
Code
Compute
Store
Non-Native Graph DB
Native Graph DB
 RDBMS
Optimized for graph workloads
Connectedness Differentiates Neo4j
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
"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
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
Neo4j Bloom
16
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?
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
•  High	fidelity	
•  Scene	navigation	
•  Property	views	
•  NLP	Search		
•  Search	suggestions	
•  Saved	phrase	history	
•  Property	editor	
•  Schema	Perspectives	
•  Bloom	chart	type	
Neo4j	Bloom	
19	
Communicate, discover, visualize, isolate and navigate
Neo4j Bloom User Interface
20	
•  Prompted Search
•  Property Browser &
editor
•  Category icons and
color scheme
•  Pan, Zoom & Select
“Find Appleby in Panama Papers Data”
21
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
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
25 Northwind Graph
26 Northwind Purchasing Dept.
27 Northwind Shipping Dept.
28 Northwind Sales Dept.
29 Northwind HR Dept.
30 Northwind Customer View
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
Graph Search
32	
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”
DEMO
34	
Fraud Detection Example
BankAc...
Account...
SSN
PhoneN...
Address
CreditC...
Unsecu...
36	
Law Enforcement Example
38	
Data Lineage Example
•  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/
40	
For Further Information
Neo4j Bloom Q&A
41

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