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DBMS > Neo4j

Neo4j System Properties

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Editorial information provided by DB-Engines
NameNeo4j
DescriptionOpen source graph database
Database modelGraph DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score33.68
Rank#21  Overall
#1  Graph DBMS
Websiteneo4j.com
Technical documentationneo4j.com/­docs/­stable
DeveloperNeo Technology
Initial release2007
Current release3.0.3, June 2016
LicenseOpen Source GPL version3, commercial licenses available
Database as a Service (DBaaS) Only available as a cloud serviceno
Implementation languageJava
Server operating systemsLinux Can also be used server-less as embedded Java database.
OS X
Windows
Data schemeschema-free
Typing predefined data types such as float or dateyes
Secondary indexesyes pluggable indexing subsystem, by default Apache Lucene
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsCypher query language
Java API
RESTful HTTP API
Supported programming languages.Net
Clojure
Go
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts Stored proceduresyes Server Plugins in Java
Triggersyes via event handler
Partitioning methods Methods for storing different data on different nodesnone
Replication methods Methods for redundantly storing data on multiple nodesMaster-slave replication only available in the Enterprise Edition.
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency configurable in High Availability Cluster setup
Immediate Consistency
Foreign keys Referential integrityyes Relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
User concepts Access controlno
More information provided by the system vendor
Neo4j
Specific characteristics

Unlock the value of data relationships with Neo4j, a transactional database that features native graph storage and processing for super-fast writes and reads, plus flexible data modeling and ACID compliance.

Competitive advantages

Neo4j is the only transactional database that combines everything you need for performance and trustability in applications that bring data relationships to the fore: native graph storage, native graph processing, graph scalability, high availability, built-in ETL, and integration support, plus Cypher, a powerful and expressive language for queries using vastly less code than SQL.

Typical application scenarios
  • Real-Time Recommendations
  • Master Data Management
  • Identity and Access Management
  • Network and IT Operations
  • Fraud Detection
  • Graph-Based Search
Key customers

eBay, Walmart, Cisco, UBS, HP, CenturyLink, Telenor, TomTom, Telenor, The National Geographic Society

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than a million downloads, and 200+ enterprise customers, including 50 Global 2000 companies.

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial license is offered by Neo Technology, Inc., and is bundled in Neo4j Enterprise, which includes enterprise features and world-class support. Contact neo4j.com for pricing information.

News

Getting Started with Neo4j and Scala: An Introduction
28 July 2016

Build Spring Data Neo4j 4.1 Applications Like a Superhero
27 July 2016

Introducing the Neo4j Ambassador Program
26 July 2016

My Neo4j Summer Road Trip to the World of Healthcare [Part 2]
25 July 2016

The 5-Minute Interview: Ivan Portilla, IT Architect at IBM
22 July 2016

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Neo4j
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

show all

Recent citations in the news

Neo4j Cluster Performance Tuning
29 June 2016, DZone News

Neo4j 3.0 released: Graph technology looks here to stay
26 April 2016, ZDNet

What's the Difference Between SQL, NoSQL, and NewSQL?
28 July 2016, Electronic Design (blog)

DataStax injects a graph database into DSE 5.0 release
27 July 2016, SiliconANGLE (blog)

DataStax 5.0: Embracing most everything but SQL | ZDNet
26 July 2016, ZDNet

provided by Google News




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