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DBMS > Hypertable vs. RDFox vs. SQream DB vs. Tkrzw

System Properties Comparison Hypertable vs. RDFox vs. SQream DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRDFox  Xexclude from comparisonSQream DB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopHigh performance knowledge graph and semantic reasoning enginea GPU-based, columnar RDBMS for big data analytics workloadsA 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 modelWide column storeGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsRelational 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
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.oxfordsemantic.techsqream.comdbmx.net/­tkrzw
Technical documentationdocs.oxfordsemantic.techdocs.sqream.com
DeveloperHypertable Inc.Oxford Semantic TechnologiesSQream TechnologiesMikio Hirabayashi
Initial release2009201720172020
Current release0.9.8.11, March 20166.0, Septermber 20222022.1.6, December 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
LinuxLinux
macOS
Data schemeschema-freeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesno
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
SPARQL 1.1
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
Java
C++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions in Pythonno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelreplication 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyes infousing specific database classes
User concepts infoAccess controlnoRoles, resources, and access typesno

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HypertableRDFoxSQream DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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