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DBMS > GRAKN.AI vs. InterSystems IRIS vs. MariaDB vs. Stardog vs. TimescaleDB

Vergleich der Systemeigenschaften GRAKN.AI vs. InterSystems IRIS vs. MariaDB vs. Stardog vs. TimescaleDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGRAKN.AI  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMariaDB  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessen
KurzbeschreibungGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen 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 engineEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Document Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
RDF Store
Time Series DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS infowith OQGraph storage engine
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,27
Rang#249  Overall
#19  Graph DBMS
#116  Relational DBMS
Punkte1,13
Rang#144  Overall
#21  Document Stores
#24  Key-Value Stores
#6  Object oriented DBMS
#70  Relational DBMS
Punkte87,34
Rang#13  Overall
#8  Relational DBMS
Punkte0,91
Rang#162  Overall
#12  Graph DBMS
#6  RDF Stores
Punkte1,88
Rang#121  Overall
#8  Time Series DBMS
Websitegrakn.aiwww.intersystems.com/­products/­intersystems-irismariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.stardog.comwww.timescale.com
Technische Dokumentationdev.grakn.ai/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmariadb.com/­kb/­en/­librarywww.stardog.com/­docsdocs.timescale.com
EntwicklerGrakn Labs LtdInterSystemsMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoDer Lead Developer Monty Widenius ist der ursprüngliche Autor von MySQL
Stardog-UnionTimescale
Erscheinungsjahr20162018200920102017
Aktuelle Version1.6.2, January 20202018.1.1, February 201810.4.12, Jaenner 20206.2.3, Juli 2019
Lizenz infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablekommerziellOpen Source infoGPL Version 2, kommerzielle Enterpriselizenz verfügbarkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
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.
ImplementierungsspracheJavaC und C++JavaC
Server BetriebssystemeLinux
OS X
Windows
AIX
Linux
macOS
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS
Windows
Linux
OS X
Windows
Datenschemajadepending on used data modelja infoDynamic Columns werden unterstütztschema-free and OWL/RDFS-schema supportja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein infoImportieren/Exportieren von XML Daten möglichja
Sekundärindizesjajajaja infosupports real-time indexing in full-text and geospatialja
SQL infoSupport of SQLneinjaja infomit proprietären ErweiterungenSPARQL is used as query languageja infofull PostgreSQL SQL syntax
APIs und andere Zugriffskonzepteconsole (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietäres native API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Unterstützte ProgrammiersprachenAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored Proceduresneinjaja infoseit Version 10.3 auch PL/SQL kompatibeluser defined functions and aggregates, HTTP Server extensions in Javabenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersneinjajaja infovia event handlersja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoby using CassandraShardingHorizontale Partitionierung, Sharding mittels Spider Storage Engine oder Galera Cluster infoPartitioning by range, list, hash, keykeineyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Master Replikation infoby using CassandraMaster-Slave ReplikationMaster-Master Replikation infousing MariaDB Galera Cluster
Master-Slave Replikation
Master-Master Replikation in HA-ClusterMaster-Slave Replikation info
MapReduce infoBietet ein API für Map/Reduce Operationenja infoby using Apache Kafka and Apache Zookeeperneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infosubstituted by the relationship featurejaja infonicht für MyISAM Storage Engineja infoBeziehungen in Graphenja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACID infonicht für MyISAM Storage EngineACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infonicht für In-Memory Storage Enginejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaja infowith MEMORY storage enginejanein
Berechtigungskonzept infoZugriffskontrolleyes infoat REST API level; other APIs in progressyesBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte für Benutzer und RollenBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
GRAKN.AIInterSystems IRISMariaDBStardogTimescaleDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» mehr
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» mehr
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» mehr
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» mehr
TimescaleDB is the first open-source time-series database that combines the reliability,...
» mehr
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» mehr
High availability, scalability, performance beyond MySQL and other databases.
» mehr
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» mehr
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» mehr
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» mehr
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» mehr
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» mehr
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» mehr
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» mehr
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» mehr
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» mehr
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» mehr
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» mehr
1.8 million+ downloads, 7,500+ Github stars
» mehr
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» mehr
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» mehr
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» mehr
Zugehörige Produkte und Dienstleistungen
DrittanbieterNavicat for MariaDB provides a native environment for MariaDB database management and development.
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Azure Database for MariaDB: Easily deploy applications to the cloud.
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Weitere Ressourcen
GRAKN.AIInterSystems IRISMariaDBStardogTimescaleDB
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

Big gains for Relational Database Management Systems in DB-Engines Ranking
2. Februar 2016, Matthias Gelbmann

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Konferenzen und Veranstaltungen

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

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