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DBMS > EsgynDB vs. RDFox vs. TerarkDB vs. Tkrzw

System Properties Comparison EsgynDB vs. RDFox vs. TerarkDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonRDFox  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance knowledge graph and semantic reasoning engineA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA 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 modelRelational DBMSGraph DBMS
RDF store
Key-value storeKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.esgyn.cnwww.oxfordsemantic.techgithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationdocs.oxfordsemantic.techbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperEsgynOxford Semantic TechnologiesByteDance, originally TerarkMikio Hirabayashi
Initial release2015201720162020
Current release6.0, Septermber 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++C++C++
Server operating systemsLinuxLinux
macOS
Windows
Linux
macOS
Data schemeyesyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersreplication via a shared file systemnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesnono

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EsgynDBRDFoxTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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