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DBMS > MarkLogic vs. openGauss vs. RethinkDB vs. YTsaurus

System Properties Comparison MarkLogic vs. openGauss vs. RethinkDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonopenGauss  Xexclude from comparisonRethinkDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDBMS for the Web with a mechanism to push updated query results to applications in realtime.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument storeDocument store
Key-value store
Secondary database modelsDocument store
Spatial DBMS
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
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.marklogic.comgitee.com/­opengauss
opengauss.org
rethinkdb.comytsaurus.tech
Technical documentationdocs.marklogic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
rethinkdb.com/­docsytsaurus.tech/­docs/­en
DeveloperMarkLogic Corp.Huawei and openGauss communityThe Linux Foundation infosince July 2017Yandex
Initial release2001201920092023
Current release11.0, December 20223.0, March 20222.4.1, August 2020
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen SourceOpen Source infoApache Version 2Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, JavaC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Ubuntu
Data schemeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesyes
SQL infoSupport of SQLyes infoSQL92ANSI SQL 2011noYQL, an SQL-based language, is supported
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
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyes
TriggersyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)Sharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 transactionACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardyes infousers and table-level permissionsAccess Control Lists

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More resources
MarkLogicopenGaussRethinkDBYTsaurus
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