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DBMS > Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. OpenQM vs. PlanetScale vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. OpenQM vs. PlanetScale vs. SWC-DB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPlanetScale  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 with high compatibility to Microsoft SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSScalable, distributed, serverless MySQL database platform built on top of VitessA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Relational DBMSMultivalue DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmplanetscale.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlplanetscale.com/­docs
DeveloperAtos Convergence CreatorsMicrosoftRocket Software, originally Martin PhillipsPlanetScaleAlex Kashirin
Initial release20162010199320202020
Current release1703V123.4-120.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++GoC++
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsyesyes infowith some exceptionsyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindings.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Server-side scripts infoStored proceduresnoTransact SQLyesyes infoproprietary syntaxno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableyesMulti-source replication
Source-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Atos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureOpenQM infoalso called QMPlanetScaleSWC-DB infoSuper Wide Column Database
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