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DBMS > Kinetica vs. MarkLogic vs. Riak TS vs. Stardog

System Properties Comparison Kinetica vs. MarkLogic vs. Riak TS vs. Stardog

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak TS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series 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
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.kinetica.comwww.progress.com/­marklogicwww.stardog.com
Technical documentationdocs.kinetica.comwww.progress.com/­marklogic/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.stardog.com
DeveloperKineticaMarkLogic Corp.Open Source, formerly Basho TechnologiesStardog-Union
Initial release2012200120152010
Current release7.1, August 202111.0, December 20223.0.0, September 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++ErlangJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Linux
macOS
Windows
Data schemeyesschema-free infoSchema can be enforcedschema-freeschema-free and OWL/RDFS-schema support
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.noyesnono infoImport/export of XML data possible
Secondary indexesyesyesrestrictedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92yes, limitedYes, compatible with all major SQL variants through dedicated BI/SQL Server
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
HTTP API
Native Erlang Interface
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptErlanguser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooksyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 Indexesyes
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsnoAccess rights for users and roles

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More resources
KineticaMarkLogicRiak TSStardog
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