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DBMS > MarkLogic vs. Netezza vs. RethinkDB vs. Stardog

System Properties Comparison MarkLogic vs. Netezza vs. RethinkDB vs. Stardog

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRethinkDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.marklogic.comwww.ibm.com/­products/­netezzarethinkdb.comwww.stardog.com
Technical documentationdocs.marklogic.comrethinkdb.com/­docsdocs.stardog.com
DeveloperMarkLogic Corp.IBMThe Linux Foundation infosince July 2017Stardog-Union
Initial release2001200020092010
Current release11.0, December 20222.4.1, August 20207.3.0, May 2020
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2commercial 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++Java
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.yesnono infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infoSQL92yesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
OLE DB
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
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyesuser defined functions and aggregates, HTTP Server extensions in Java
TriggersyesnoClient-side triggers through changefeedsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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, with Range Indexesnoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptyes infousers and table-level permissionsAccess rights for users and roles

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More resources
MarkLogicNetezza infoAlso called PureData System for Analytics by IBMRethinkDBStardog
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