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DBMS > MarkLogic vs. Postgres-XL vs. PouchDB vs. RDF4J

System Properties Comparison MarkLogic vs. Postgres-XL vs. PouchDB vs. RDF4J

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument storeRDF store
Secondary database modelsDocument store
Spatial 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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.marklogic.comwww.postgres-xl.orgpouchdb.comrdf4j.org
Technical documentationdocs.marklogic.comwww.postgres-xl.org/­documentationpouchdb.com/­guidesrdf4j.org/­documentation
DeveloperMarkLogic Corp.Apache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20012014 infosince 2012, originally named StormDB20122004
Current release11.0, December 202210 R1, October 20187.1.1, June 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla public licenseOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaScriptJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freeyes infoRDF Schemas
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.yesyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infoSQL92yes infodistributed, parallel query executionnono
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptuser defined functionsView functions in JavaScriptyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACID infoMVCCnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as well
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 levelsfine grained access rights according to SQL-standardnono

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More resources
MarkLogicPostgres-XLPouchDBRDF4J infoformerly known as Sesame
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