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DBMS > HugeGraph vs. MarkLogic vs. OpenMLDB vs. RethinkDB

System Properties Comparison HugeGraph vs. MarkLogic vs. OpenMLDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMarkLogic  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSOperational and transactional Enterprise NoSQL databaseAn open-source machine learning database that provides a feature platform for training and inferenceDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSDocument store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.marklogic.comopenmldb.airethinkdb.com
Technical documentationhugegraph.apache.org/­docsdocs.marklogic.comopenmldb.ai/­docs/­zh/­mainrethinkdb.com/­docs
DeveloperBaiduMarkLogic Corp.4 Paradigm Inc.The Linux Foundation infosince July 2017
Initial release2018200120202009
Current release0.911.0, December 20222024-2 February 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, ScalaC++
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-free infoSchema can be enforcedFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.noyesnono
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
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
JDBC
SQLAlchemy
Supported programming languagesGroovy
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
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
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infovia XQuery or JavaScriptno
TriggersnoyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.yesyes, with Range Indexesyesno
User concepts infoAccess controlUsers, roles and permissionsRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardyes infousers and table-level permissions

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More resources
HugeGraphMarkLogicOpenMLDBRethinkDB
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