DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Neo4j

Neo4j System Properties

Please select another system to compare it with Neo4j.

Our visitors often compare Neo4j with GraphDB, Amazon Neptune and OrientDB.

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
Score48.39
Rank#22  Overall
#1  Graph DBMS
Websiteneo4j.com
Technical documentationneo4j.com/­docs
DeveloperNeo4j, Inc.
Initial release2007
Current release3.5.4, April 2019
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

AI & Graph Technology: Connections Improve Accuracy
19 August 2019

This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
17 August 2019

#GraphCast: Better Data, Better Decisions
16 August 2019

Visualizing This Week in Tech
15 August 2019

AI & Graph Technology: How Graphs Accelerate Machine Learning
12 August 2019

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Neo4j charts tighter grip on graph data-at-rest
29 July 2019, ComputerWeekly.com

Neo4j & Thales Team Up to Offer Graph Data-at-Rest Encryption
23 July 2019, PRNewswire

Neo4j and Thales bring data security to the graph database
25 July 2019, Help Net Security

NEORIS Forges Global Partnership with Neo4j to Augment Human Intelligence and Data Management Capabilities at Scale
1 August 2019, Yahoo Finance

New Graph Database Performance Benchmark Confirms Graph Databases are Ready for Solving Real-World Business Intelligence, Data Challenges
14 August 2019, Yahoo Finance

provided by Google News

Job opportunities

Vice President, Architecture
JP Morgan Chase, Plano, TX

Solutions Engineer
Tom Sawyer Software, Remote

Health System Modeling and Simulation Lead
Mitre Corporation, Bedford, MA

Software Engineer (Entry Level) - 2012542
Software Engineering Institute, Pittsburgh, PA

Data Management Analyst
Bank of America, Charlotte, NC

jobs by Indeed




Share this page

Featured Products

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here