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DBMS > Kinetica vs. RDF4J vs. Riak KV vs. STSdb vs. Transwarp Hippo

System Properties Comparison Kinetica vs. RDF4J vs. Riak KV vs. STSdb vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Distributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRDF storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitewww.kinetica.comrdf4j.orggithub.com/­STSSoft/­STSdb4www.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.kinetica.comrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.OpenSource, formerly Basho TechnologiesSTS Soft SC
Initial release20122004200920112023
Current release7.1, August 20213.2.0, December 20224.0.8, September 20151.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaErlangC#C++
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
WindowsLinux
macOS
Data schemeyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)Vector, Numeric and String
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 indexesyesyesrestrictednono
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
.NET Client APIRESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
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#
Java
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyesErlangnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelnoyes, using Riak SecuritynoRole based access control and fine grained access rights

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More resources
KineticaRDF4J infoformerly known as SesameRiak KVSTSdbTranswarp Hippo
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