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DBMS > Neo4j

Neo4j System Properties

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Editorial information provided by DB-Engines
NameNeo4j
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.14
Rank#19  Overall
#1  Graph DBMS
Websiteneo4j.com
Technical documentationneo4j.com/­docs
DeveloperNeo4j, Inc.
Initial release2007
Current release4.4.7, May 2022
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
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 nodesyes using Neo4j Fabric
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 delivers graph technology that has been battle tested for performance and scale ground-up. The high-performance distributed cluster architecture of Neo4j enables customers to run the most challenging OLTP and data science workloads, while preserving ACID compliance and data integrity. With Neo4j, customers get the freedom of choice to deploy in a self-hosted, hybrid, or multi-cloud platform.

Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely deployed graph data platform in the market, used by 200K+ developers, 800+ commercial customers- with dozens of them deploying graph databases with multi-billion nodes and relationships. 

Here are some key competitive advantages:

1000x Performance at Unlimited Scale

  • Queries that take seconds/minutes/hours run in milliseconds on Neo4j, enabling customers to scale efficiently without compromising performance or data integrity. Learn more>>

Unmatched Hardware Efficiency

  • With Neo4j customers often require 10x less hardware than other graph databases, particularly those built atop relational, NoQL, and RDF databases, enabling significant increase in ROI, while reducing TCO.

Platform Agnostic

  • Neo4j runs on-premises, in the cloud, and natively on any cloud platform. The freedom of choice to deploy anywhere enables multi-cloud efficiency, faster time to market, development agility and greater ROI.

Developer Productivity - Declarative Language 

  • Cypher enables more with less: 10x less code than SQL. Direct path to an ISO standard. Neo4j boasts the world's largest community of skilled graph developers, enabling projects to deliver more, in less time, with less risk.

Agility - Flexible Schema

  • Flexible schema enables the database to adapt to an evolving business, rapidly and without disruption, delivering more in less time, with less risk.

First Graph ML for Enterprise 

  • With 50 algorithms across 6 categories, low memory format to compress analytics graphs by 75%, highly parallelized and massively scalable architecture, Neo4j Graph Data Science (GDS) is the industry's first Graph ML for enterprise.

Typical application scenarios
Key customers

Over 800 commercial customers and over 4300 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 Cars and many more.

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million downloads and Docker pulls, over 200K active instances, and 800+ enterprise customers, including over 75% of Fortune 100 companies.

Neo4j is used by 20 of 20 top financial institutions, 9 of 10 top high tech companies, 7 of the world’s top 10 retailers, 3 of the top 5 aircraft manufacturers, 8 of the top 10 insurance companies, All of North America’s top 20 banks, 8 of the top 10 automakers, 3 of the world’s top 5 hotels, and 7 of the top 10 telecoms.

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

GraphConnect 2022: 10 Sessions You Don’t Want to Miss
24 May 2022

This Week in Neo4j: Graph Composition, Cypher Tips, Dataset Analysis, Kafka Messages, Running Backups, Legal AI, and More
21 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
20 May 2022

Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
17 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
16 May 2022

Related products and services
Graphable delivers expert services for Neo4j and other Graph DBMS.

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

Recent citations in the news

ICIJ is hiring a new Neo4j Connected Data Fellow
18 May 2022, ICIJ.org

Neo4j Appoints Chief Marketing Officer
10 May 2022, PR Newswire

GPU Database Market Report SWOT Analysis by 2030 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia – The Daily Vale
25 May 2022, The Daily Vale

Graph Databases Software Market Size 2022 Overview by 2029 | Key Players – Neo4j, ArangoDB, SAP, Twitter, The Apache Software Foundation – The Daily Vale
25 May 2022, The Daily Vale

One on One: with Neo4j A/NZ general manager Peter Philipp
13 May 2022, ARNnet

provided by Google News

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