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DBMS > MarkLogic vs. MonetDB vs. PouchDB vs. Warp 10

System Properties Comparison MarkLogic vs. MonetDB vs. PouchDB vs. Warp 10

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDBTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.progress.com/­marklogicwww.monetdb.orgpouchdb.comwww.warp10.io
Technical documentationwww.progress.com/­marklogic/­documentationwww.monetdb.org/­Documentationpouchdb.com/­guideswww.warp10.io/­content/­02_Getting_started
DeveloperMarkLogic Corp.MonetDB BVApache Software FoundationSenX
Initial release2001200420122015
Current release11.0, December 2022Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open SourceOpen Source infoApache License 2.0
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
FreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freeschema-free
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.yesnono
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLyes infoSQL92yes infoSQL 2003 with some extensionsnono
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
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyes, in SQL, C, RView functions in JavaScriptyes infoWarpScript
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
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 ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
MarkLogicMonetDBPouchDBWarp 10
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