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DBMS > GraphDB vs. IRONdb vs. MariaDB vs. Microsoft SQL Server vs. RDF4J

System Properties Comparison GraphDB vs. IRONdb vs. MariaDB vs. Microsoft SQL Server vs. RDF4J

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonIRONdb  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Microsofts flagship relational DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.ontotext.comwww.circonus.com/solutions/time-series-database/mariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.microsoft.com/­en-us/­sql-serverrdf4j.org
Technical documentationgraphdb.ontotext.com/­documentationdocs.circonus.com/irondb/category/getting-startedmariadb.com/­kb/­en/­librarylearn.microsoft.com/­en-US/­sql/­sql-serverrdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextCirconus LLC.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200020172009 infoFork of MySQL, which was first released in 199519892004
Current release10.4, October 2023V0.10.20, January 201811.3.2, February 2024SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoGPL version 2, commercial enterprise subscription availablecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC and C++C and C++C++Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes infoDynamic columns are supportedyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language (Circonus Analytics Query Language: CAQL)yes infowith proprietary extensionsyesno
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes, in Luayes infoPL/SQL compatibility added with version 10.3Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeseveral options for horizontal partitioning and Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engineyes
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
GraphDB infoformer name: OWLIMIRONdbMariaDBMicrosoft SQL ServerRDF4J infoformerly known as Sesame
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
MariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Web, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
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