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DBMS > IBM Cloudant vs. MarkLogic vs. RDFox vs. TimescaleDB

System Properties Comparison IBM Cloudant vs. MarkLogic vs. RDFox vs. TimescaleDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDFox  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBOperational and transactional Enterprise NoSQL databaseHigh performance knowledge graph and semantic reasoning engineA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.ibm.com/­products/­cloudantwww.marklogic.comwww.oxfordsemantic.techwww.timescale.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.marklogic.comdocs.oxfordsemantic.techdocs.timescale.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MarkLogic Corp.Oxford Semantic TechnologiesTimescale
Initial release2010200120172017
Current release11.0, December 20226.0, Septermber 20222.13.0, November 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++C
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92noyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infovia XQuery or JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesreplication via a shared file systemSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes
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.noyes, with Range Indexesyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
IBM CloudantMarkLogicRDFoxTimescaleDB
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