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DBMS > Atos Standard Common Repository vs. IBM Cloudant vs. InterSystems Caché vs. Postgres-XL vs. Prometheus

System Properties Comparison Atos Standard Common Repository vs. IBM Cloudant vs. InterSystems Caché vs. Postgres-XL vs. Prometheus

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatabase as a Service offering based on Apache CouchDBA multi-model DBMS and application serverBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­cloudantwww.intersystems.com/­products/­cachewww.postgres-xl.orgprometheus.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.intersystems.comwww.postgres-xl.org/­documentationprometheus.io/­docs
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014InterSystems
Initial release2016201019972014 infosince 2012, originally named StormDB2015
Current release17032018.1.4, May 202010 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangCGo
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesNumeric data only
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.yesnoyesyes infoXML type, but no XML query functionalityno infoImport of XML data possible
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoyesyes infodistributed, parallel query executionno
APIs and other access methodsLDAPRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyesuser defined functionsno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoatomic operations within a document possibleACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.yesnoyesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databaseAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryIBM CloudantInterSystems CachéPostgres-XLPrometheus
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