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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNuoDB  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 CouchDBNuoDB is a webscale distributed database that supports SQL and ACID transactionsBased 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
Score0.94
Rank#197  Overall
#92  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.3ds.com/­nuodb-distributed-sql-databasewww.postgres-xl.orgprometheus.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdoc.nuodb.comwww.postgres-xl.org/­documentationprometheus.io/­docs
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Dassault Systèmes infooriginally NuoDB, Inc.
Initial release2016201020132014 infosince 2012, originally named StormDB2015
Current release170310 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen 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 languageJavaErlangC++CGo
Server operating systemsLinuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
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.yesnonoyes 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 APIADO.NET
JDBC
ODBC
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++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
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 JavaScriptJava, SQLuser defined functionsno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDByes 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 possibleACID infotunable commit protocolACID 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.yesnoyes infoTemporary tablenono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databaseStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryIBM CloudantNuoDBPostgres-XLPrometheus
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