Graphs & Neo4jPast - Present - Future

Meetup Sept 27, Stockholm - NetEnt

Michael HungerCaretaker General Neo4j Community

(Michael)*[:WORKS_FOR]*>(Neo4j)

michael@neo4j.com |?@mesirii?|?github.com/jexp?|?jexp.de/blog

Michael?Hunger??* Caretaker?General?@Neo4j

KNOWS

KN

OW

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NAME: ANNAGE: 32

SINCE: 2012

KNOWS

NODE

PROPERTY

RELATIONSHIPS

KNOWS

KNOWS

KN

OW

S

NAME: EVEAGE: 32

SINCE: 2012

KNOWS

SELL

VIEWS

SELL

PRICE:10$PALO ALTO

PRICE:5$OAKLAND

SELL

15 years later…

“Graph analysis is the true killer app for Big Data.”

“Forrester estimates that over 25% of enterprises will be using graph

databases by 2017.”

Today It Is An Industry

“Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture.”

“By the end of 2018, 70% of leading organizations will have one or more pilot or proof-of-concept efforts underway utilizing graph databases.”

Today It Is An Industry

Neo4j Adoption by Selected VerticalsSOFTWARE FINANCIAL

SERVICES RETAIL MEDIA & OTHER SOCIAL NETWORKS TELECOM HEALTHCARE

How did we get here?

Let‘s build a,1. database

2. query language3. billion $,companyhow hard can it be?

Our Founders

Our Culture

Be Open Listen!

Foster Community & Collaboration

Appreciate Empower Support

Make it easy

Graph&Query&Language:&Cypher

(jan:Person {,name:“Jan”},) 3[:LOVES]3>,(anne:Person {,name:“Anne”},)

LOVESJan Anne

NODE NODE

LABEL PROPERTYLABEL PROPERTY

MATCH

MATCH&(boss)%[:MANAGES*0..3]%>(sub),(sub)%[:MANAGES*1..3]%>(report)

WHERE&boss.name?=?“John?Doe”RETURN sub.name AS Subordinate,?count(report)?AS Total

Find%all%reports%and%how%many%people%they%manage,%up%to%3%levels%down

Cypher'Query

SQL'Query

THE IMPACT OF GRAPHSHow Graphs Are Changing The World

#1

GRAPHS FOR GOOD

Biggest Leak in History

Panama Papers

Offshore Leaks Database

Snowden – NSA

WikiLeaks Cablegate

Pentagon Papers

0 5M 10MDocuments Leaked

Unraveling the Cancer Code with Graphs

#2

DISRUPTION WITH GRAPHS

Anybody with an idea and a purpose,can now use a technology that is powerful enough to change an industry

273

#3

BETTER BUSINESS WITH GRAPHS

Real-Time Recommendations

Fraud Detection

Network & IT Operations

Master Data Management

Graph-Based Search

Identity & Access Management

Sustainable Competitive Advantage With Graphs

WHAT’S NEXT?Building The Graph Database For The Future

What Users Love about Neo4j

Design

Whiteboard friendliness

Develop Deploy

Great query language

Native graph performance

What Users Want More Of

Design

Whiteboard friendliness

Develop Deploy

Great query language

Native graph performance

ProductivityDeveloper graph

applications faster

ScaleDesign bigger and faster graph apps

OperationsDeploy graph applications

anywhere easily

Productivity

2016 - : 3.x — Official Language Drivers

0.x — Embedded Java API2000 - 2010:

2.x — Cypher2014 - 2015:2010 - 2014: 1.x — REST

Example - Java with Neo4j 2.xOfficial Language Drivers

Official Language Drivers

Driver driver = GraphDatabase.driver( "bolt://localhost" );try ( Session session = driver.session() ) {

StatementResult result = session.run("MATCH (u:User) RETURN u.name");}

WithJava

WithJavaScript

var driver = Graph.Database.driver("bolt://localhost");var session = driver.session();var result = session.run("MATCH (u:User) RETURN u.name");

Official Language Drivers

WithPython

driver = Graph.Database.driver("bolt://localhost")session = driver.session()result = session.run("MATCH (u:User) RETURN u.name")

Official Language Drivers

Official Language Drivers

using (var driver = GraphDatabase.Driver("bolt://localhost"))using (var session = driver.Session()){

var result = session.Run("MATCH (u:User) RETURN u.name");}

With.NET

JavaScript Java .NET Python CommunityDrivers

Drivers

Bolt

PHP, Go, Elixir, Ruby

Neo4j OGM Spring Data Neo4j 4

Browser.Next

Spark DriverJDBC Driver

Enabling:

User Defined Procedures

Neo4jExecu+onEngineJavaStoredProcedure

Applica+ons

Bolt

Java Stored Procedure

@Procedure public Stream<StringResult> uuid() { return Stream.of(new StringResult(UUID.randomUUID().toString())); }

@Procedure public Stream<StringResult> uuid() { return Stream.of(new StringResult(UUID.randomUUID().toString())); }

Cypher

Java Stored Procedure

RDF / Linked Data Parallelization

Meta Data Utilities

Data Integration

Date & Time

Graph Algorithms

Enabling:

Spatial

Operations

Official Docker Image

Ease of:

Testing Provisioning

Scaling Extending

Using

Enabling:

Configuration Log Files

Startup Behavior Directory Structure

Consistency

Scale

Scalability Performance

The Inherent Tension Between Scalability And Performance

Unlimited Size Graphs

Huge Networks of: People

Devices Software

Genes & Proteins Behaviors

Documents

Enabling:

Drivers

User Defined Procedures

Unlimited Size Graphs

Future These are my personal predictions

- Stay Tuned -

Core-Edge Clustering

Enterprise Grade Security

User Defined Functions

3.1beta

Large Scale Clusters Basis for Sharding Spark Co-Location

Compute Instances Auto-Scaling

Core Edge

LDAP Active Directory

default roles fine grained roles

procedure security

later: Kerberos

data level security

Security

data conversion date & time

json data structures

business rules decomposition

User Defined Functions

Graph Compute, Cypher on X

Sharding

Compiled Runtime

3.2

4.0

Connected Age

Age of Graphs and Graph Databases

Thank You

Questions? ;-) Ask Me Anything