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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
Score34.32
Rank#21  Overall
#1  Graph DBMS
Websiteneo4j.com
Technical documentationneo4j.com/­docs/­developer-manual/­current
DeveloperNeo Technology
Initial release2007
Current release3.1.0, December 2016
License Commercial or Open SourceOpen Source GPL version3, commercial licenses available
Cloud-based Only available as a cloud serviceno
Implementation languageJava, Scala
Server operating systemsLinux Can also be used server-less as embedded Java database.
OS X
Solaris
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
Neo4j-OGM Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts Stored proceduresyes User defined Procedures and Functions
Triggersyes via event handler
Partitioning methods Methods for storing different data on different nodesnone
Replication methods Methods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol available in in Enterprise Version only
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
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 controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, active directory)
More information provided by the system vendor
Neo4j
Specific characteristics

Neo4j is a native graph database that is built to store, query and manage highly connected data more efficiently than other databases. Data relationships are first class citizens and can be traversed in constant time without index lookups. That allows even complex queries to deliver results in milliseconds than in minutes. Architected for the property graph model, it provides optimized mechanisms to work with todays complex domains and use-cases.

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

The Impact of Graph-Powered Business Leader Social Networks
22 March 2017

Graph-Specialized ETL: Taking Citizens into the Graph and Keeping It up to Date
21 March 2017

This Week in Neo4j – 18 March 2017
18 March 2017

The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes
17 March 2017

The JetBrains IDE Plugin for Graph Database Developers [Community Post]
16 March 2017

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

Conferences and events

GraphConnect Europe, 2017
London, UK, 11 May 2017

Recent citations in the news

More Than 19000 LinkedIn Users List Neo4j as a Skill as Professional Neo4j Community Continues to Grow
9 March 2017, Yahoo Finance

Neo4j Customer The International Consortium of Investigative Journalists Honoured For Pioneering Use Of Data ...
8 March 2017, Bobsguide (press release)

Neo4j: Analyzing a CSV File Using LOAD CSV and Cypher
21 February 2017, DZone News

The 5-Minute Interview: Sifting Through Science
7 March 2017, DZone News

Analysing the future of databases and graph technology
22 March 2017, Enterprise Apps Tech

provided by Google News




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