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DBMS > Hypertable vs. MariaDB vs. RDF4J vs. RDFox

System Properties Comparison Hypertable vs. MariaDB vs. RDF4J vs. RDFox

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMariaDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRDFox  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopMySQL 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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High performance knowledge graph and semantic reasoning engine
Primary database modelWide column storeRelational DBMSRDF storeGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
rdf4j.orgwww.oxfordsemantic.tech
Technical documentationmariadb.com/­kb/­en/­libraryrdf4j.org/­documentationdocs.oxfordsemantic.tech
DeveloperHypertable Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oxford Semantic Technologies
Initial release20092009 infoFork of MySQL, which was first released in 199520042017
Current release0.9.8.11, March 201611.3.2, February 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononono
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.
Implementation languageC++C and C++JavaC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeschema-freeyes infoDynamic columns are supportedyes infoRDF Schemasyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyes
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.yes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
C
Java
Server-side scripts infoStored proceduresnoyes infoPL/SQL compatibility added with version 10.3yes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingseveral options for horizontal partitioning and Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
nonereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage engineyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoRoles, resources, and access types
More information provided by the system vendor
HypertableMariaDBRDF4J infoformerly known as SesameRDFox
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
HypertableMariaDBRDF4J infoformerly known as SesameRDFox
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