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DBMS > Cubrid vs. Kinetica vs. Pinecone

System Properties Comparison Cubrid vs. Kinetica vs. Pinecone

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonKinetica  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPFully vectorized database across both GPUs and CPUsA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.kinetica.comwww.pinecone.io
Technical documentationcubrid.org/­manualsdocs.kinetica.comdocs.pinecone.io/­docs/­overview
DeveloperCUBRID Corporation, CUBRID FoundationKineticaPinecone Systems, Inc
Initial release200820122019
Current release11.0, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC, C++
Server operating systemsLinux
Windows
Linuxhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
CubridKineticaPinecone
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2 June 2023, Matthias Gelbmann

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