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DBMS > Kinetica vs. Transwarp KunDB vs. VelocityDB

System Properties Comparison Kinetica vs. Transwarp KunDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational 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
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.14
Rank#340  Overall
#148  Relational DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitewww.kinetica.comwww.transwarp.cn/­en/­product/­kundbvelocitydb.com
Technical documentationdocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperKineticaTranswarpVelocityDB Inc
Initial release20122011
Current release7.1, August 20217.x
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#
Server operating systemsLinuxAny that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes 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 nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
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 persistentyesyesyes
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 levelyesBased on Windows Authentication

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More resources
KineticaTranswarp KunDBVelocityDB
Recent citations in the news

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News



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