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DBMS > HugeGraph vs. jBASE vs. MarkLogic vs. RDF4J vs. Tkrzw

System Properties Comparison HugeGraph vs. jBASE vs. MarkLogic vs. RDF4J vs. Tkrzw

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middlewareOperational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMSMultivalue DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.marklogic.comrdf4j.orgdbmx.net/­tkrzw
Technical documentationhugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.marklogic.comrdf4j.org/­documentation
DeveloperBaiduRocket Software (formerly Zumasys)MarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Mikio Hirabayashi
Initial release20181991200120042020
Current release0.95.711.0, December 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsLinux
macOS
Unix
AIX
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesyesno
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICyes infoSQL92nono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGroovy
Java
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesyes infovia XQuery or JavaScriptyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissionsAccess rights can be defined down to the item levelRole-based access control at the document and subdocument levelsnono

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More resources
HugeGraphjBASEMarkLogicRDF4J infoformerly known as SesameTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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