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DBMS > MonetDB vs. RDFox vs. Riak KV vs. Teradata

System Properties Comparison MonetDB vs. RDFox vs. Riak KV vs. Teradata

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonRDFox  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsHigh performance knowledge graph and semantic reasoning engineDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.monetdb.orgwww.oxfordsemantic.techwww.teradata.com
Technical documentationwww.monetdb.org/­Documentationdocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperMonetDB BVOxford Semantic TechnologiesOpenSource, formerly Basho TechnologiesTeradata
Initial release2004201720091984
Current releaseDec2023 (11.49), December 20236.0, Septermber 20223.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache version 2, commercial enterprise editioncommercial
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.
Implementation languageCC++Erlang
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
hosted
Linux
Data schemeyesyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes
Secondary indexesyesrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, RErlangyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infono "single point of failure"Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusreplication via a shared file systemselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesyes, using Riak Securityfine grained access rights according to SQL-standard

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MonetDBRDFoxRiak KVTeradata
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