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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIngres  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  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 networksDatabase as a Service offering based on Apache CouchDBWell established RDBMSBased 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 storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
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.actian.com/­databases/­ingreswww.postgres-xl.orgprometheus.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.actian.com/­ingreswww.postgres-xl.org/­documentationprometheus.io/­docs
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Actian Corporation
Initial release201620101974 infooriginally developed at University Berkely in early 1970s2014 infosince 2012, originally named StormDB2015
Current release170311.2, May 202210 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 languageJavaErlangCCGo
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availableyes 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
proprietary protocol (OpenAPI)
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
.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 divisionShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Ingres Replicatoryes 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 lockingyes infoMVCCyesyes
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.yesnononono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryIBM CloudantIngresPostgres-XLPrometheus
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