Lighting talk neo4j fosdem 2011

Neo4j Graph DB Intro & Neo4j DB Fosdem 2011 #neo4j @neo4j [email_address] Jordi Valverde Eclipsi Networks

GraphDB evolution Information connectivity 1990 2000 2010 2020 Text documents Ontologies RDF Folksonomies Tagging User-generated content Wikis RSS Blogs Hypertext Neo4j

The property graph model
Core abstractions:
Nodes
Relationships between nodes
Properties on both
Traversal framework
High performance queries on connected data sets
name = “Jordi” age = 29 type = KNOWS time = 4 years type = car vendor = “Honda” model = “Civic” 1 2 3

Querying Neo4j? (1) GraphDatabaseService graphDb = ... // Get factory // Create Jordi Node jordi = graphDb.createNode(); jordi.setProperty( "name" , "Jordi" ); jordi.setProperty( "age" , 29 ); // Create Car Node car = graphDb.createNode(); car.setProperty( "name" , "Car" ); car.setProperty( "vendor" , "Honda" ); car.setProperty( "model" , "Civic" ); // Create a relationship representing that relationate each element jordi.createRelationshipTo( car, RelTypes. KNOWS );

Social data (customer: brand-name social network) 1 3 13 KNOWS KNOWS 7 2 KNOWS KNOWS KNOWS 42 KNOWS name = “Mike” age = 29 disclosure = public name = “Charlie” last_name = “Runkle” name = “Dani” last_name = “California” age = 27 name = “Hank” last_name = “Moody” age = 42 age = 3 days name = “Karen” name = “Marcy Runkle”

Just a social graph?

Spatial data (customer: large telecom company) 1 3 13 ROAD ROOOAD 7 2 ROAD ROAD ROAD 42 ROAD name = “Omni Hotel” lat = 3492848 long = 283823423 length = 7 miles name = ... lat, long = ... name = “Swedland” lat = 23410349 long = 2342348852 name = “The Tavern” lat = 1295238237 long = 234823492 length = 3 miles name = ... name = ...

Social? Spatial? … Social AND spatial!

Social AND spatial data 1 3 13 LIKES SIBLING 7 2 ROAD ROAD ROAD 42 KNOWS name = “Omni Hotel” lat = 3492848 long = 283823423 weight = 10 name = “Pere” beer_qual = expert name = “Maria” age = 30 beer_qual = non-existant name = “The Tavern” lat = 1295238237 long = 234823492 length = 3 miles name = ... name = “Jordi”

Financial data (customer: international bank) 1 3 13 TRANSFER WITHDRAW 7 2 OWNS DEPOSIT TRANSFER 42 WITHDRAW name = “Mr Godfather” karma = veeeery-low cash = more-than-you amount = $1000 name = “Emil” cash = always-too-li'l title = “ATM @ Wall St” id = 230918484233 cash_left = 384204 name = “The Tavern” lat = 1295238237 long = 234823492 amount = $1000 name = ... name = ...

Computational Genomics? (customer: no idea!) 1 3 13 NEXT NEXT 7 2 NUCLEOTIDES FAMILY RELATED 42 START type = “Protein” ID=”SACE0A01650p” name = “T” name = “G” name = “A” name = GL3C2479 name = ...

Traverser Framework
node.traverse(description)
Language object bindings (Ruby, Python, PHP,...)
node.genes.first.name
Gremlin (perl like)
./outE[label='family']/inV/@name
Graph Matching
Example graphs,
Starting point by searching
RDF, SPARQL -> SNOMED
SELECT ?gene, ?family WHERE ...
Querying Neo4j? (II)

neo4j-kernel
Core of neo4j
neo4j-index
Indexing component
neo4j-shell
A command line like shell
neo4j-remote-graphdb
JAVA API for interacting with the core and JAVA app
neo4j-backup
Component for backup
neo4j-graph-algo
More relevant graph algorithms
Neo4j components

Why graph databases?
Data mining
You can make algorithms for searching patterns and add AI
High-critical environments
You can apply neo4j for high load databases and optimize the queries and reduce costs on hardware use
Engineering in biochemical components
You can make algorithms for helping the study of protein synthesys, for example
Discrete event simulation
You can apply a pattern and behavior and assign everything to a graph database
Social graph
Everything in user related “tastes” can be organized in a graph
Network architecture

Some examples...

Routing

Visualization - Gephi

Visualization - iGraph

Most widely deployed graph db in the world
ACID, persistent, embedded/server
Robust: 24/7 production since 2003
Mature: lots of production deployments
Scalable: High Availability, Master failover
Community: ecosystem of tools, bindings, frameworks
Product: OSGi, Spatial, RDF, languages
Available under AGPLv3 and as commercial product
But the first one is free! For ALL use-cases
Why Neo4j?

OrientDB (1 GPL version, Java)
http://www.orientechnologies.com/orient-db.htm
Sones (GPL, Dual-licence .NET)
http://www.sones.com
HyperGraphDB (GPL, JAVA)
http://www.hypergraphdb.org
DEX (Privative License, JAVA)
http://www.sparsity-technologies.com/dex_releases.php
...
We're the best, but...

Download
http://neo4j.org
Feedback
http://lists.neo4j.org
http://twitter.com/neo4j
Code and more
https://github.com/neo4j
Help & more presentations
http://wiki.neo4j.org
http://slidesha.re/ftBtb2 Pablo Delgado (ruby on rails and neo4j) Conferencia RoR Madrid
http://slidesha.re/heSxmm Pere Urbon (fast peak on graphdb) Barcelona on rails meeting
More Info?

Questions? Thank you...

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Lighting talk neo4j fosdem 2011

by Jordi Valverde on Feb 05, 2011

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