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DBMS > Atos Standard Common Repository vs. InterSystems IRIS vs. Kinetica vs. Oracle Coherence vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. InterSystems IRIS vs. Kinetica vs. Oracle Coherence vs. Splice Machine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.intersystems.com/­products/­intersystems-iriswww.kinetica.comwww.oracle.com/­java/­coherencesplicemachine.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencesplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsInterSystemsKineticaOracleSplice Machine
Initial release20162018201220072014
Current release17032023.3, June 20237.1, August 202114.1, August 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++JavaJava
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
LinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsdepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsnoyes infoJava
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes, with selectable consistency levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryInterSystems IRISKineticaOracle CoherenceSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Atos Standard Common RepositoryInterSystems IRISKineticaOracle CoherenceSplice Machine
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