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DBMS > Neo4j

Neo4j System Properties

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Editorial information provided by DB-Engines
NameNeo4j
DescriptionOpen source graph database
Primary database modelGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.53
Rank#20  Overall
#1  Graph DBMS
Websiteneo4j.com
Technical documentationneo4j.com/­docs
DeveloperNeo4j, Inc.
Initial release2007
Current release4.1.4, November 2020
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Scala
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-free and schema-optional
Typing infopredefined data types such as float or dateyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLno
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functions
Triggersyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Neo4j
Specific characteristics

Neo4j is a native graph database platform that is built to store, query, analyze and manage highly connected data more efficiently than other databases. The Neo4j database is highly scalable both vertically and horizontally, without introducing data integrity or consistency issues using its Causal Clustering architecture, which now supports mulit-clustering. Customers have deployed graphs with 10's of Billions of nodes and relationships. Data relationships are first class entities and can be traversed in constant time without index lookups (high-performance native indexes can be set.) That allows even complex queries to deliver results in milliseconds rather than in minutes. Architected from bare-metal upwards for the property graph model from the point that the graph is conceived, drawn or visualized, to how it is coded in graph-specific syntax to how it computes and executes queries all the way to how it persists connections in storage.  Neo4j is charting the path to the graph paradigm by focusing on data connectedness, rather than how relational and NoSQL databases focus on how data is collected. Graph use cases are everywhere, and Neo4j covers them all.   

Competitive advantages

Neo4j database 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, graph clustering, graphs in the cloud, graphs on Spark, built-in ETL, and integration support, plus Cypher, a powerful and expressive language for queries using vastly less code than SQL.

Typical application scenarios
Key customers

Over 300 commercial customers and over 750 startups use Neo4j.  Flagship customers include eBay, Walmart, Cisco, Citibank, ING, UBS, HP, CenturyLink, Telenor, TomTom, Telia, Comcast, Scripps Interactive Networks, The National Geographic Society, Airbus, Orange, AT&T, Verizon, DHS, US Army, Pitney Bowes, Vanguard, Microsoft, IBM, Thomson Reuters, Amadeus Travel, Caterpillar, Volvo and many more.   

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than a 15 million downloads and Docker pulls, over 200K active instances, and 300+ enterprise customers, including over 150 Global 2000 companies.

Licensing and pricing models

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

News

Identity and Access Management: 5-Minute Interview with Seyed Hossein Ahmadinejad
27 November 2020

Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction
25 November 2020

The Neo4j BI Connector: Many Use Cases
23 November 2020

This Week in Neo4j – Neo4j 4.2 Released, kNN in the GDS Library, Data Auditing with Spring Data Neo4j
21 November 2020

#GraphCast: Tableau & Neo4j in Real Time
20 November 2020

Related products and services

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More resources
Neo4j
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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)

show all

Recent citations in the news

Neo4j Named a Leader in Graph Data Platforms by Independent Research Firm
16 November 2020, PRNewswire

An Introduction to Neo4j
3 November 2020, iProgrammer

Graph Databases Gaining Enterprise-Ready Features
4 November 2020, EnterpriseAI

Neo4j Announces First Graph Machine Learning for the Enterprise
20 October 2020, PRNewswire

These startups prove it pays to bet on open-source DevOps tools
16 November 2020, TechGenix

provided by Google News

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