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DBMS > Atos Standard Common Repository vs. atoti vs. etcd vs. InterSystems IRIS vs. Kinetica

System Properties Comparison Atos Standard Common Repository vs. atoti vs. etcd vs. InterSystems IRIS vs. Kinetica

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonetcd  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  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 networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed reliable key-value storeA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Object oriented DBMSKey-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.ioetcd.io
github.com/­etcd-io/­etcd
www.intersystems.com/­products/­intersystems-iriswww.kinetica.com
Technical documentationdocs.atoti.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.com
DeveloperAtos Convergence CreatorsActiveViamInterSystemsKinetica
Initial release201620182012
Current release17033.4, August 20192023.3, June 20237.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaJavaGoC, C++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
AIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noyesSQL-like DML and DDL statements
APIs and other access methodsLDAPgRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonnoyesuser defined functions
Triggersyesyes, watching key changesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlLDAP bind authenticationnoyesAccess rights for users and roles on table level
More information provided by the system vendor
Atos Standard Common RepositoryatotietcdInterSystems IRISKinetica
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Atos Standard Common RepositoryatotietcdInterSystems IRISKinetica
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