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DBMS > Cubrid vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Kingbase vs. Splice Machine

System Properties Comparison Cubrid vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Kingbase vs. Splice Machine

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKingbase  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.kingbase.com.cnsplicemachine.com
Technical documentationcubrid.org/­manualsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssplicemachine.com/­how-it-works
DeveloperCUBRID Corporation, CUBRID FoundationIBMInterSystemsBeiJing KINGBASE Information technologies inc.Splice Machine
Initial release20082014201819992014
Current release11.0, January 20212023.3, June 2023V8.0, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC and JavaJava
Server operating systemsLinux
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 possibleyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesStandard with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresPL/SQL, SQL PLyesuser defined functionsyes infoJava
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CubridIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISKingbaseSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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CubridIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISKingbaseSplice Machine
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