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DBMS > Cubrid vs. GridGain vs. InterSystems IRIS vs. Splice Machine

System Properties Comparison Cubrid vs. GridGain vs. InterSystems IRIS vs. Splice Machine

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.gridgain.comwww.intersystems.com/­products/­intersystems-irissplicemachine.com
Technical documentationcubrid.org/­manualswww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssplicemachine.com/­how-it-works
DeveloperCUBRID Corporation, CUBRID FoundationGridGain Systems, Inc.InterSystemsSplice Machine
Initial release2008200720182014
Current release11.0, January 2021GridGain 8.5.12023.3, June 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava, C++, .NetJava
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yesyes infoJava
Triggersyesyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CubridGridGainInterSystems IRISSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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CubridGridGainInterSystems IRISSplice Machine
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