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DBMS > Kinetica vs. MarkLogic vs. Postgres-XL vs. RethinkDB

System Properties Comparison Kinetica vs. MarkLogic vs. Postgres-XL vs. RethinkDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.kinetica.comwww.progress.com/­marklogicwww.postgres-xl.orgrethinkdb.com
Technical documentationdocs.kinetica.comwww.progress.com/­marklogic/­documentationwww.postgres-xl.org/­documentationrethinkdb.com/­docs
DeveloperKineticaMarkLogic Corp.The Linux Foundation infosince July 2017
Initial release201220012014 infosince 2012, originally named StormDB2009
Current release7.1, August 202111.0, December 202210 R1, October 20182.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoMozilla public licenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++CC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92yes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID infoMVCCAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.yes infoGPU vRAM or System RAMyes, with Range Indexesnono
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardyes infousers and table-level permissions

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More resources
KineticaMarkLogicPostgres-XLRethinkDB
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