Graphs are Everywhere: GraphConnect 2013 Conference Notes

Neo Technology, Inc Conﬁdential
GraphConnect 2013
graphs are everywhere
Emil Eifrem
@emileifrem
#graphconnect

“Five richest big data sources on theWeb
include social graph, intent graph,
consumption graph, interest graph and
mobile graph.”
http://www.forbes.com/sites/ericsavitz/2012/10/23/gartner-top-10-strategic-technology-trends-for-2013/
- Gartner:“Top 10 Strategic Trends For 2013,” Oct 2012

“[I]t is arguable that graph databases will have a
bigger impact on the database landscape than
Hadoop or its competitors.”
- Bloor Research, May 2012
http://www.bloorresearch.com/blog/IM-Blog/2012/5/graph-databases-nosql.html

“Graph analysis is the true killer app for Big Data.”
- Forrester Research, Dec 2011
http://blogs.forrester.com/james_kobielus/11-12-19-the_year_ahead_in_big_data_big_cool_new_stuff_looms_large

http://gigaom.com/2013/05/14/were-witnessing-the-rise-of-the-graph-in-big-data/
GigaOm, May 2013

FastCompany, March 2013
http://www.fastcompany.com/magazine/174/exposing-yahoos-strategy-marissa-mayer

Ian Robinson,
Jim Webber & Emil Eifrem
Graph
Databases
h
Com
plim
ents
ofNeo
Technology

?

NASDAQ:ORCL
Market Cap Today: ~$150B

More recent examples?

Social Graph

Social Graph
Link Graph
Knowledge Graph

Social Graph
Interest Graph
Link Graph
Knowledge Graph

Connected Data.

Wow.
But it looks like graph = social.
Right?

Core Industries
& Use Cases:
Software
Financial
Services
Telecomm-
unications
Network & Data
Center Management
MDM
Social
Geo
Early Adopter Segments

Neo4j Adoption Snapshot
Core Industries
& Use Cases:
Software
Financial
Services
Telecomm-
unications
Network & Data
Center Management
MDM
Social
Geo
Select Commercial Customers (Community Users Not Included)

Core Industries
& Use Cases:
Web / ISV
Finance &
Insurance
Telecomm-
unications
Network & Data
Center Management
MDM
Social
Geo

Core Industries
& Use Cases:
Software
Financial
Services
Telecomm
unications
Web Social, HR
& Recruiting
Health Care &
Life Sciences
Media &
Publishing
Energy, Services,
Automotive, Gov’t,
Logistics, Education,
Gaming, Other
Network & Data
Center
Management
MDM / System of
Record
Social
Geo
Identity &
Access Mgmt
Content
Management
Recommend-
ations
BI, CRM, Impact
Analysis, Fraud
Detection, Resource
Optimization, etc.
Accenture

So what’s this product
they’re using?

LIVES WITH
LOVES
OWNS
DRIVES
LOVES
name:“James”
age: 32
twitter:“@spam”
name:“Mary”
age: 35
brand:“Volvo”
model:“V70”
property type:“car”
Graph data model

Image credits:Tobias Ivarsson
“Whiteboard friendliness”

thobe
Wardrobe Strength
Joe project blog
Hello Joe
Neo4j performance analysis
Modularizing Jython
Image credits:Tobias Ivarsson
“Whiteboard friendliness”

Database # persons query time
MySQL
Neo4j
Neo4j
๏a sample social graph
•with ~1,000 persons
๏average 50 friends per person
๏pathExists(a,b) limited to depth 4
๏caches warmed up to eliminate disk I/O
Graph db performance

MySQL
Neo4j
Neo4j
1,000

MySQL
Neo4j
Neo4j
1,000 2,000 ms

MySQL
Neo4j
Neo4j
1,000 2,000 ms
1,000 2 ms

MySQL
Neo4j
Neo4j
1,000 2,000 ms
1,000 2 ms
1,000,000

MySQL
Neo4j
Neo4j
1,000 2,000 ms
1,000 2 ms
1,000,000 2 ms

Drivers of Graph Adoption
“Why did you use a graph database for your application?”

Drivers of Graph Adoption
Naturally Graphy Data
Complex Graph Queries
Query Performance
0% 20% 40% 60% 80%

Great product.
What’s up next?

Top 12 Month Product Themes

Ease of Use

Big DataEase of Use

Big Data CloudEase of Use

2.0
Q2 Q3 Q4Q1
2013
Theme: Ease of Use
Neo4j 2.0

2.0
• Labels. First expansion of the Property Graph model
since its inception. Nodes can have one or more labels.
Signiﬁcantly improve power & ease of use.
Q2 Q3 Q4Q1
2013
Theme: Ease of Use
Neo4j 2.0

2.0
• Index automation.
Improve indexing ease of use, leveraging new “Label” construct
Enable indexing operations through Cypher
Q2 Q3 Q4Q1
2013
Theme: Ease of Use
Neo4j 2.0

2.0
• REST Improvements.
Improved Transactionality & Robustness
Q2 Q3 Q4Q1
2013
Theme: Ease of Use
Neo4j 2.0

2.0
• REST Improvements.
Improved Transactionality & Robustness
• Cypher performance improvements.
Q2 Q3 Q4Q1
2013
Theme: Ease of Use
Neo4j 2.0

Theme: Big Data
2.1
Q2 Q3 Q4Q12013
Neo4j 2.1
2014

Theme: Big Data
2.1
• Increase upper size limits of single-machine graph
Q2 Q3 Q4Q12013
Neo4j 2.1
2014

Theme: Big Data
2.1
• Performance optimizations targeting densely-
connected nodes
Q2 Q3 Q4Q12013
Neo4j 2.1
2014

Theme: Big Data
2.1
connected nodes
• Bulk data import improvements: easer & faster to
bring large amounts of data into Neo4j
Q2 Q3 Q4Q12013
Neo4j 2.1
2014

Theme: Big Data
2.1
connected nodes
• Bulk data import improvements: easer & faster to
bring large amounts of data into Neo4j
• Cypher performance improvements
Q2 Q3 Q4Q12013
Neo4j 2.1
2014

GraphConnect Boston
June 10-11, 2013 | Catalyst Restaurant

Your Mission:
Connect.
GraphConnect Boston
June 10-11, 2013 | Catalyst Restaurant

Graphs are Everywhere: GraphConnect 2013 Conference Notes

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Graphs are Everywhere: GraphConnect 2013 Conference Notes