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DBMS > Neo4j

Neo4j Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit Neo4j zu vergleichen.

Unsere Besucher vergleichen Neo4j oft mit GraphDB, Amazon Neptune und OrientDB.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameNeo4j
KurzbeschreibungOpen Source Graph Datenbank
Primäres DatenbankmodellGraph DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte48,58
Rang#22  Overall
#1  Graph DBMS
Websiteneo4j.com
Technische Dokumentationneo4j.com/­docs
EntwicklerNeo4j, Inc.
Erscheinungsjahr2007
Aktuelle Version3.5.1, Dezember 2018
Lizenz infoCommercial or Open SourceOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, Scala
Server BetriebssystemeLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Datenschemaschemafrei und schema-optional
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
Sekundärindizesja infoAustauschbares Index Subsystem, per Default Apache Lucene
SQL infoSupport of SQLnein
APIs und andere ZugriffskonzepteBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Unterstützte Programmiersprachen.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-seitige Scripts infoStored Proceduresja infoUser defined Procedures and Functions
Triggersja infomittels Event Handler
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Fremdschlüssel inforeferenzielle Integritätja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
Berechtigungskonzept infoZugriffskontrolleUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
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. 

Neuigkeiten

The Future of Data Visualization
20. März 2019

Register Now for Global Graph Celebration Day: 40+ Events Already Scheduled Worldwide!
19. März 2019

Graph Algorithms in Neo4j: Louvain Modularity
18. März 2019

This Week in Neo4j – Neo4j Joins GraphQL Foundation as a Founding Member, Desktop Graph Analytics, Revamped Intro to Neo4j Training Course
16. März 2019

Dimensions of Digital Transformation: 5-Minute Interview with Dave Stevens
15. März 2019

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Weitere Ressourcen
Neo4j
DB-Engines Blog Posts

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2. März 2016, Paul Andlinger

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

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

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Erwähnungen in aktuellen Nachrichten

Kineviz Partners with Graph Database Leader Neo4j to Deliver GraphXR Graph App
7. März 2019, PRNewswire

Graph data standardization: It's just a graph, making gravitational waves in the real world
8. März 2019, ZDNet

How Daimler is using graph database technology in HR
8. März 2019, ZDNet

Neo4j nabs $80M Series E as graph database tech flourishes
1. November 2018, TechCrunch

Graph technology: The missing link to power AI
12. März 2019, ITProPortal

bereitgestellt von Google News

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