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DBMS > Drizzle vs. gStore vs. MarkLogic vs. PouchDB vs. Valentina Server

System Properties Comparison Drizzle vs. gStore vs. MarkLogic vs. PouchDB vs. Valentina Server

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisongStore  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparisonValentina Server  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.A native Graph DBMS to store and maintain very large RDF datasets.Operational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDBObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteen.gstore.cnwww.progress.com/­marklogicpouchdb.comwww.valentina-db.net
Technical documentationen.gstore.cn/­#/­enDocswww.progress.com/­marklogic/­documentationpouchdb.com/­guidesvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDrizzle project, originally started by Brian AkerMarkLogic Corp.Apache Software FoundationParadigma Software
Initial release20082016200120121999
Current release7.2.4, September 20121.2, November 202311.0, December 20227.1.1, June 20195.7.5
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoBSDcommercial inforestricted free version is availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++JavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesno
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infoSQL92noyes
APIs and other access methodsJDBCHTTP API
SPARQL 1.1
Java 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
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptView functions in JavaScriptyes
Triggersno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes, with Range Indexesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions, Role-Based Access Control (RBAC) supportedRole-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standard

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More resources
DrizzlegStoreMarkLogicPouchDBValentina Server
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