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DBMS > MarkLogic vs. PouchDB vs. Quasardb vs. Yanza

System Properties Comparison MarkLogic vs. PouchDB vs. Quasardb vs. Yanza

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseTime Series DBMS for IoT Applications
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeTime Series DBMSTime Series 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
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.marklogic.compouchdb.comquasar.aiyanza.com
Technical documentationdocs.marklogic.compouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperMarkLogic Corp.Apache Software FoundationquasardbYanza
Initial release2001201220092015
Current release11.0, December 20227.1.1, June 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptC++
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Windows
Data schemeschema-free infoSchema can be enforcedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryno
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.yesnonono
Secondary indexesyesyes infovia viewsyes infowith tagsno
SQL infoSupport of SQLyes infoSQL92noSQL-like query languageno
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
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIHTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptView functions in JavaScriptnono
Triggersyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesyes infoTransient mode
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnoCryptographically strong user authentication and audit trailno

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More resources
MarkLogicPouchDBQuasardbYanza
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