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DBMS > RDFox vs. Riak TS vs. RocksDB vs. TDSQL for MySQL vs. Tkrzw

System Properties Comparison RDFox vs. Riak TS vs. RocksDB vs. TDSQL for MySQL vs. Tkrzw

Editorial information provided by DB-Engines
NameRDFox  Xexclude from comparisonRiak TS  Xexclude from comparisonRocksDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh performance knowledge graph and semantic reasoning engineRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.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 DBMS
RDF store
Time Series DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.oxfordsemantic.techrocksdb.orgwww.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzw
Technical documentationdocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­ts/­latestgithub.com/­facebook/­rocksdb/­wikiwww.tencentcloud.com/­document/­product/­1042
DeveloperOxford Semantic TechnologiesOpen Source, formerly Basho TechnologiesFacebook, Inc.TencentMikio Hirabayashi
Initial release20172015201320132020
Current release6.0, Septermber 20223.0.0, September 20229.2.1, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSDcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++C++
Server operating systemsLinux
macOS
Windows
Linux
OS X
LinuxhostedLinux
macOS
Data schemeyes infoRDF schemasschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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.nononono
Secondary indexesrestrictednoyes
SQL infoSupport of SQLnoyes, limitednoyesno
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
C++ API
Java API
JDBC
ODBC
Supported programming languagesC
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresErlangnoyesno
Triggersyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemselectable replication factoryesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes infousing specific database classes
User concepts infoAccess controlRoles, resources, and access typesnonoUsers with fine-grained authorization conceptno

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More resources
RDFoxRiak TSRocksDBTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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