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DBMS > Kinetica vs. OpenMLDB vs. VelocityDB

System Properties Comparison Kinetica vs. OpenMLDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenMLDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsAn open-source machine learning database that provides a feature platform for training and inferenceA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.kinetica.comopenmldb.aivelocitydb.com
Technical documentationdocs.kinetica.comopenmldb.ai/­docs/­zh/­mainvelocitydb.com/­UserGuide
DeveloperKinetica4 Paradigm Inc.VelocityDB Inc
Initial release201220202011
Current release7.1, August 20212024-2 February 20247.x
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
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++, Java, ScalaC#
Server operating systemsLinuxLinuxAny that supports .NET
Data schemeyesFixed schemayes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
.Net
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
.Net
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoCallbacks 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 replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
KineticaOpenMLDBVelocityDB
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