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DBMS > Kinetica vs. Stardog vs. Transbase vs. UniData,UniVerse vs. VelocityDB

System Properties Comparison Kinetica vs. Stardog vs. Transbase vs. UniData,UniVerse vs. VelocityDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonStardog  Xexclude from comparisonTransbase  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA resource-optimized, high-performance, universally applicable RDBMSMultiValue database and application server with SQL mapping layer and meta database capabilitiesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSMultivalue DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.kinetica.comwww.stardog.comwww.transaction.de/­en/­products/­transbase.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatavelocitydb.com
Technical documentationdocs.kinetica.comdocs.stardog.comwww.transaction.de/­en/­products/­transbase/­features.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatavelocitydb.com/­UserGuide
DeveloperKineticaStardog-UnionTransaction Software GmbHRocket SoftwareVelocityDB Inc
Initial release20122010198719852011
Current release7.1, August 20217.3.0, May 2020Transbase 8.3, 20227.x
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree development licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC and C++CC#
Server operating systemsLinuxLinux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Any that supports .NET
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
Proprietary native API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
.Net
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Basic infoU2 Basic
C
Java
.Net
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javayesyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlersyesyes infoU2 BasicCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in HA-ClusterSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes infoGPU vRAM or System RAMyesnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system basedBased on Windows Authentication

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More resources
KineticaStardogTransbaseUniData,UniVerseVelocityDB
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