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DBMS > MariaDB vs. Neo4j vs. TigerGraph

Vergleich der Systemeigenschaften MariaDB vs. Neo4j vs. TigerGraph

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NameMariaDB  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessen
KurzbeschreibungOpen source RDBMS, das zu MySQL anwendungskompatibel ist und zusätzliche Features wie Hochverfügbarkeit, Security, Interoperabilität und Performanceverbesserungen aufweist. Mit MariaDB ColumnStore bietet es auch eine spaltenorientierte storage engineOpen Source Graph DatenbankA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primäres DatenbankmodellRelational DBMSGraph DBMSGraph DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte86,07
Rang#13  Overall
#8  Relational DBMS
Punkte48,22
Rang#22  Overall
#1  Graph DBMS
Punkte0,85
Rang#160  Overall
#12  Graph DBMS
Websitemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
neo4j.comwww.tigergraph.com
Technische Dokumentationmariadb.com/­kb/­en/­libraryneo4j.com/­docswww.tigergraph.com/­documentation
EntwicklerMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoDer Lead Developer Monty Widenius ist der ursprüngliche Autor von MySQL
Neo4j, Inc.
Erscheinungsjahr200920072017
Aktuelle Version10.4.8, September 20193.5.8, Juli 2019
Lizenz infoCommercial or Open SourceOpen Source infoGPL Version 2, kommerzielle Enterpriselizenz verfügbarOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarfkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
  • MariaDB Managed Service: A customized MariaDB deployment fully managed by the experts at MariaDB in the cloud of your choice. Keeps you up to date with features, upgrades, hotfixes and security patches.
ImplementierungsspracheC und C++Java, ScalaC++
Server BetriebssystemeFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
Datenschemaja infoDynamic Columns werden unterstütztschemafrei und schema-optionalja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjanein
Sekundärindizesjaja infoAustauschbares Index Subsystem, per Default Apache Lucene
SQL infoSupport of SQLja infomit proprietären ErweiterungenneinSQL-like query language (GSQL)
APIs und andere ZugriffskonzepteProprietäres native API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-seitige Scripts infoStored Proceduresja infoseit Version 10.3 auch PL/SQL kompatibelja infoUser defined Procedures and Functionsja
Triggersjaja infomittels Event Handlernein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenHorizontale Partitionierung, Sharding mittels Spider Storage Engine oder Galera Cluster infoPartitioning by range, list, hash, keykeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Master Replikation infousing MariaDB Galera Cluster
Master-Slave Replikation
Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Fremdschlüssel inforeferenzielle Integritätja infonicht für MyISAM Storage Engineja infoBeziehungen in Graphenja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infonicht für MyISAM Storage EngineACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja
Durability infoDauerhafte Speicherung der Datenja infonicht für In-Memory Storage Enginejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infowith MEMORY storage enginenein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access control
Weitere Informationen bereitgestellt vom Systemhersteller
MariaDBNeo4jTigerGraph
Specific characteristicsOpen source database from the creators of MySQL, enhanced with enterprise tools and...
» mehr
Neo4j is a native graph database platform that is built to store, query, analyze...
» mehr
TigerGraph is a native graph database, with massively parallel processing and fully...
» mehr
Competitive advantagesHigh availability, scalability, performance beyond MySQL and other databases.
» mehr
Neo4j database is the only transactional database that combines everything you need...
» mehr
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» mehr
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» mehr
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» mehr
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» mehr
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» mehr
Visa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow
» mehr
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» mehr
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» mehr
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Developer & Enterprise Edition: https://www.tigergraph.com/download/ Pricing is available...
» mehr
Neuigkeiten

This Week in Neo4j – NODES 2019 Preview: Knowledge Graphs, Building a SurveyMonkey Clone, Sentiment Analysis with Neo4j and GCP
21. September 2019

SQL Server Advocate Turns Graph: 5-Minute Interview with Dee Pandian
20. September 2019

Connecting our Community with NODES 2019 Viewing Parties!
19. September 2019

How Graphs Enhance Artificial Intelligence
18. September 2019

NODES 2019: Announcing 52 Online Talks from Leading Graph Experts
17. September 2019

Zugehörige Produkte und Dienstleistungen
DrittanbieterNavicat for MariaDB provides a native environment for MariaDB database management and development.
» mehr

Azure Database for MariaDB: Easily deploy applications to the cloud.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
MariaDBNeo4jTigerGraph
DB-Engines Blog Posts

MariaDB strengthens its position in the open source RDBMS market
5. April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2. Januar 2018, Paul Andlinger, Matthias Gelbmann

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Applying Graph Analytics to Game of Thrones
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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)

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Konferenzen und Veranstaltungen

MariaDB OpenWorks 2020
New York City, USA, 4.-6. Mai 2020

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

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bereitgestellt von Google News

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TigerGraph Launches PartnerGraph Program to Meet Growing Demand for Graph Analytics in AI and Machine Learning
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TigerGraph Celebrates Record-Breaking Year of Growth as Demand For Fastest, Most Scalable Graph Analytics Platform Continues to Soar
13. Februar 2019, GlobeNewswire

TigerGraph Receives One of the Highest Ratings in Gartner Peer Insights 'Voice of the Customer': Data Management Solutions for Analytics Report
25. Juni 2019, GlobeNewswire

bereitgestellt von Google News

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