Presenting: Neo4j

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Master is immediately consistent, slaves are eventually consistent

Many graph systems are specific purpose (eg. social networking, genome analysis, ...) - but neo4j is designed to be generic so that it can be used for many purposes...

All versions & editions of neo4j are open source - because we love it. The license (GPL or AGPL) varies - so you may actually be better of with a commercial license.

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PostgreSQL

MySQL

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MS SQL Server

Oracle

MS Access

IBM DB2

RDBMS

Sets

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Column

Families

Documents

Key-Value

Pairs

Database

Graphs

NOT ONLY SQL

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Declarative

Pattern Matching

ASCII-art

Ad-Hoc queries

Cypher

Excellent scalability, comparable to RDBMSes

Master/Slave replication clusters for horizontal scaling

Graph Database

Scalable

ACID

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Technical

Details

Master

Data

Management

USE CASES

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Multi-purpose

Hello, I 'm

Access

&

Identity

Open

Source

Recommendations

Social

Networks

Fraud Analysis / Detection

Impact

Analysis

Path-

Finding

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Media /

Entertainment

Commercial

Licensing

Transport &

Logistics

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Financial

Services

BioTech, Pharma,

Life Sciences

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Telecom

Enterprise

Support

Gaming

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www.neo4j.org

Industries

Product

Consulting

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Cost

Ability

Performance

Agility

Benefits

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Project Managers

CIO

Project

Managers

Delivering an on-time, in-budget project means that you have to use the right tool for the job. That's why projects that are dealing with networked datasets benefit from network-centric solutions: they allow the technical staff (developers/sysadmins) to be more productive, and provide business users with a simpler, more responsive and elegant result. Next time you are doing projects involving recommendations, master data management, impact analysis or any of the other use cases, ask why people are not using neo4j - if they haven't already done so themselves.

Architects

CIO

Neo4j offers a smart new database architecture that complements existing relational systems for specific workloads: graph (or "network centric") queries. The graph database allows you to run these complex queries more efficiently, with less hardware and less time and effort spent on implementations. Overall, the Neo4j graph database will contribute to making the IT organisation more agile, cost-effective and business focused.

Architects

Business

Managers

Networked problems benefit from network-centric solutions.

That's why you should be using a graph database for some of the

business solutions that you are building: many datasets are

densely connected, and both your technical staff (developers/sysadmins) and your business users will love the simplicity and elegance with which neo4j enables using these. Whether it's the simple Cypher query language or the intuitive graph visualisations, they all contribute to a better architectural fit for the project.

Business

Managers

Every IT system needs a place to store their data. But many systems have been using the wrong kind of technology to do so - and this has led to poor a poor business user experience. Whether it's a slow system, a late project, or a budget that has been overrun, many of these issues can just be avoided by using the right tool for the job. Graph Databases offer your IT users a better tool for specific, network-oriented problems. Don't let the default be yet another RDBMS - ask why not consider an alternative that is better fit for purpose.

Developers

Developers

A smart NOSQL database that uses a completely different

datamodel (a "property graph") to store data. Normalisation

all of a sudden becomes cheap, and join-style operations

go lightning fast. Use it for complex queries, recursive lookups

and/or pathfinding operations - and you will never look back.

Plus: it's a fully transactional, ACID database that will take

excellent care of your data, and will scale nicely as your

application grows.

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Elevator Pitches

Audiences

Mom & Pop

Computers need data - and that data needs to be stored and managed somewhere. Typically, that's what databases do. Your bank, your supermarket, your gas station - they all store data about the things you buy from them in databases. But not all data is the same - there are different types of data (files, pictures, transactions, documents, ...) and some data is very interesting to understand. That's why a specific type of database - we call it a "graph" database, after the math discipline that supports it - was created to understand patterns, relationships and connections between data better. Banks use it to detect fraud, supermarkets to recommend other products, and facebook uses it to suggest new friends. It's way cool.

General

Public