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DBMS > gStore vs. IRONdb vs. Kinetica vs. RDF4J vs. VelocityDB

System Properties Comparison gStore vs. IRONdb vs. Kinetica vs. RDF4J vs. VelocityDB

Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVelocityDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSRDF storeGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteen.gstore.cnwww.circonus.com/solutions/time-series-database/www.kinetica.comrdf4j.orgvelocitydb.com
Technical documentationen.gstore.cn/­#/­enDocsdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comrdf4j.org/­documentationvelocitydb.com/­UserGuide
DeveloperCirconus LLC.KineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.VelocityDB Inc
Initial release20162017201220042011
Current release1.2, November 2023V0.10.20, January 20187.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C, C++JavaC#
Server operating systemsLinuxLinuxLinuxLinux
OS X
Unix
Windows
Any that supports .NET
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsnono
APIs and other access methodsHTTP API
SPARQL 1.1
HTTP APIJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.Net
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresyesyes, in Luauser defined functionsyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoAccess rights for users and roles on table levelnoBased on Windows Authentication

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More resources
gStoreIRONdbKineticaRDF4J infoformerly known as SesameVelocityDB
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