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DBMS > Hyprcubd vs. Kinetica vs. OpenMLDB vs. TerarkDB

System Properties Comparison Hyprcubd vs. Kinetica vs. OpenMLDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSFully vectorized database across both GPUs and CPUsAn open-source machine learning database that provides a feature platform for training and inferenceA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store
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
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehyprcubd.com (offline)www.kinetica.comopenmldb.aigithub.com/­bytedance/­terarkdb
Technical documentationdocs.kinetica.comopenmldb.ai/­docs/­zh/­mainbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperHyprcubd, Inc.Kinetica4 Paradigm Inc.ByteDance, originally Terark
Initial release201220202016
Current release7.1, August 20212024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C++, Java, ScalaC++
Server operating systemshostedLinuxLinux
Data schemeyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (https)JDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
C++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controltoken accessAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
HyprcubdKineticaOpenMLDBTerarkDB
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