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DBMS > Drizzle vs. MarkLogic vs. OpenMLDB vs. PouchDB

System Properties Comparison Drizzle vs. MarkLogic vs. OpenMLDB vs. PouchDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMarkLogic  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Operational and transactional Enterprise NoSQL databaseAn open-source machine learning database that provides a feature platform for training and inferenceJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSDocument store
Secondary database modelsRelational 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
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.marklogic.comopenmldb.aipouchdb.com
Technical documentationdocs.marklogic.comopenmldb.ai/­docs/­zh/­mainpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerMarkLogic Corp.4 Paradigm Inc.Apache Software Foundation
Initial release2008200120202012
Current release7.2.4, September 201211.0, December 20222024-2 February 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial inforestricted free version is availableOpen SourceOpen Source
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++, Java, ScalaJavaScript
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free infoSchema can be enforcedFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoSQL92yesno
APIs and other access methodsJDBCJava 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
SQLAlchemy
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardno

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More resources
DrizzleMarkLogicOpenMLDBPouchDB
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