Graph All The Things!Introduction to Graph Database

What do these companies have in common?

Realizing Value from Data Relationships in Consumer Web

Realizing Value from Data Relationships in Consumer Web

Realizing Value from Data Relationships in Consumer Web

Ref: http://www.gartner.com/id=2081316

Interest Graph

Payment Graph

Intent Graph

Mobile Graph

Social Graph

Gartner: Competitive Dynamics of Consumer WebFive Graphs Deliver a Sustainable Advantage

High Business Value in Data Relationships

Data is increasing in volume…• New digital processes• More online transactions• New social networks• More devices

Using Data Relationships unlocks value • Real-time recommendations• Fraud detection• Master data management• Network and IT operations• Identity and access management• Graph-based search… and is getting more connected

Customers, products, processes, devices interact and relate to each other

Early adopters became industry leaders

Unlocking Value from Your Data Relationships

1. Model your data as a graph of data and relationships

2. Use relationship information in real-time to transform your business

3. Add new relationships on the fly to adapt to your changing business

Relational DBs Can’t Handle Data Relationships Well

• Cannot model or store data and relationships without complexity

• Performance degrades with number and levels of relationships, and database size

• Query complexity grows with need for JOINs

• Adding new types of data and relationships requires schema redesign, increasing time to market

… making traditional databases inappropriatewhen data relationships are valuable in real-time

Slow developmentPoor performance

Low scalabilityHard to maintain

NoSQL Databases Don’t Handle Data Relationships

• No data structures to model or store relationships

• No query constructs to support data relationships

• Relating data requires “JOIN logic” in the application

• No ACID support for transactions

… making NoSQL databases inappropriate when data relationships are valuable in real-time

Graph Databases – Re-Imagine Your Data as a Graph

An enterprise-grade graph database enables you to:

• Model and store your data as a graph

• Query data relationships with ease and in real-time

• Seamlessly evolve applications to support new requirements by adding new kinds of data and relationships

Agile developmentHigh performanceVertical and horizontal scaleSeamless evolution

“Forrester estimates that over 25% of enterprises will be using graph databases by 2017”

The Graph Database Revolution

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

“Neo4j is the current market leader in graph databases.”

IT Market Clock for Database Management Systems, 2014https://www.gartner.com/doc/2852717/it-market-clock-database-management

TechRadar™: Enterprise DBMS, Q1 2014http://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801

Graph Databases – and Their Potential to Transform How We Capture Interdependencies (Enterprise Management Associates)http://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-potential-transform-capture-interdependencies/

Graph Databases – The Fastest Growing DBMS Category

Source: http://db-engines.com/en/ranking/graph+dbms

500% increase in popularity over the last 2 years:

Graph Database Fundamentals

Discrete DataMinimally

connected data

Graph Databases are designed for data relationships

Summary - Use the Right Database for the Right Job

Other NoSQL Relational DBMS Graph DB

Connected DataFocused on

Data Relationships

Development BenefitsEasy model maintenance

Easy query

Deployment BenefitsUltra high performanceMinimal resource usage

The Whiteboard Model Is the Physical Model

CAR

name: “Dan”born: May 29, 1970

twitter: “@dan”name: “Ann”

born: Dec 5, 1975

since: Jan 10, 2011

brand: “Volvo”model: “V70”

Property Graph Model Components

Nodes• The objects in the graph• Can have name-value properties• Can be labeled

LOVES

LOVES

LIVES WITHPERSON PERSONRelationships

• Relate nodes by type and direction• Can have name-value properties

Relational Versus Graph Models

Relational Model Graph Model

KNOWSANDREAS

TOBIAS

MICA

DELIA

Person FriendPerson-Friend

ANDREASDELIA

TOBIAS

MICA

Graph Query Language: Cypher

MATCH (:Person { name:“Dan”} ) -[:LOVES]-> (:Person { name:“Ann”} )

LOVES

Dan Ann

NODE NODE

LABEL PROPERTYLABEL PROPERTY

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

Express Complex Relationship Queries Easily

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

Cypher Query

SQL Query

Real-Time Query PerformanceGraph Versus Relational and Other NoSQL Databases

Connectedness and Size of Data Set

Res

po

nse

Tim

e

0 to 2 hops0 to 3 degreesThousands of connections

Tens to hundreds of hopsThousands of degreesBillions of connections

Relational andOther NoSQLDatabases

Neo4j

Neo4j is 1000x faster“Minutes to milliseconds”

Building Competitive Advantage Using Graphs

Value from Data RelationshipsCommon Use Cases

Internal Applications

Master Data Management

Network and IT Operations

Fraud Detection

Customer-Facing Applications

Real-Time Recommendations

Graph-Based Search

Identity and Access Management

Customers Achieve Sustainable Competitive Advantage By Adopting Neo4j

New Products & Services Leveraging Data Relationships

• First to market, up and running in days, not weeks or months

• Reduced churn, increasing engagement and uncovering fraud

• Achieved new company vision centered around Business Graph

• Leapfrogged the competition with a 360 degree view of the customer

Reimagine Existing Applications, and Innovate with Data Relationships

• Kept the business running when data growth threatened to stop it

• Drastically reduced project complexity and risk

• Increased revenue and delighted customers by improving user experience

• Brought new offering to market to compete with Amazon Prime & Fresh, and Google Express

Bringing a Graph Database in your Environment

Data Storage andBusiness Rules Execution

Data Mining and Aggregation

Graph Database Fits into Your Enterprise Environment

Application

Graph Database Cluster

Neo4j Neo4j Neo4j

Ad HocAnalysis

Bulk AnalyticInfrastructureHadoop, EDW …

Data Scientist

End User

Databases

RelationalNoSQL

Hadoop

MIGRATE ALL DATA

MIGRATE GRAPH DATA

DUPLICATE GRAPH DATA

Non-graph data Graph data

Graph dataAll data

All data

RelationalDatabase

GraphDatabase

Application

Application

Application

Options for Maintaining Your Data in the Graph

Quick Start: Plan Your Project

1

2

3

4

5

6

7

8

Learn Neo4j

Decide on Architecture

Import and Model Data

Build Application

Test Application

All projects vary, but timelines as short as 8 weeks are not unusual

PROFESSIONAL SERVICES PLAN

(Market) - [:LOVES] - > (Graphs)

Users Love Neo4j

Users Love Neo4j

“We found Neo4j to be literally thousands of times faster than our prior MySQL solution, with queries that require 10 to 100 times less code. Today, Neo4j provides eBay with functionality that was previously impossible.”

Volker PacherSenior Developer

Horizontal Scaling“The ability to have flexible schema and horizontal scalability is key to our success with Neo4j.”

- IT Director, G5000 Professional Services Firm

Social Recommendations“Neo4j has allowed us to integrate personalized user experiences—based on our users’ social relationships—into both product and marketing.”

- Craig Follett, CEO, Universe

True Game Changer“Things that were impossible became possible.”

- Markus Paaso, Developer, Sagire Software

There Are Lots of Ways to Easily Learn

Thanks!

Q&A