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DBMS > HugeGraph vs. jBASE vs. MarkLogic vs. Tkrzw vs. Warp 10

System Properties Comparison HugeGraph vs. jBASE vs. MarkLogic vs. Tkrzw vs. Warp 10

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonMarkLogic  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middlewareOperational and transactional Enterprise NoSQL databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMSMultivalue DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeTime Series DBMS
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
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.marklogic.comdbmx.net/­tkrzwwww.warp10.io
Technical documentationhugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.marklogic.comwww.warp10.io/­content/­02_Getting_started
DeveloperBaiduRocket Software (formerly Zumasys)MarkLogic Corp.Mikio HirabayashiSenX
Initial release20181991200120202015
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 infoApache Version 2.0Open Source infoApache License 2.0
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 languageJavaC++C++Java
Server operating systemsLinux
macOS
Unix
AIX
Linux
Windows
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
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.noyesyesnono
Secondary indexesyes infoalso supports composite index and range indexyesno
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
HTTP API
Jupyter
WebSocket
Supported programming languagesGroovy
Java
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesyes infovia XQuery or JavaScriptnoyes infoWarpScript
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyesnoneselectable replication factor infobased on HBase
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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 classesyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights can be defined down to the item levelRole-based access control at the document and subdocument levelsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HugeGraphjBASEMarkLogicTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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