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DBMS > Kinetica vs. RDFox vs. VelocityDB vs. Warp 10

System Properties Comparison Kinetica vs. RDFox vs. VelocityDB vs. Warp 10

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRDFox  Xexclude from comparisonVelocityDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsHigh performance knowledge graph and semantic reasoning engineA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.kinetica.comwww.oxfordsemantic.techvelocitydb.comwww.warp10.io
Technical documentationdocs.kinetica.comdocs.oxfordsemantic.techvelocitydb.com/­UserGuidewww.warp10.io/­content/­02_Getting_started
DeveloperKineticaOxford Semantic TechnologiesVelocityDB IncSenX
Initial release2012201720112015
Current release7.1, August 20216.0, Septermber 20227.x
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 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++C#Java
Server operating systemsLinuxLinux
macOS
Windows
Any that supports .NETLinux
OS X
Windows
Data schemeyesyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
.NetHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
Java
.Net
Server-side scripts infoStored proceduresuser defined functionsnoyes infoWarpScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationreplication via a shared file systemselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelRoles, resources, and access typesBased on Windows AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
KineticaRDFoxVelocityDBWarp 10
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