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DBMS > Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. PlanetScale

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. PlanetScale

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  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 networksA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.com
Technical documentationplanetscale.com/­docs
DeveloperAtos Convergence CreatorsMicrosoftPlanetScale
Initial release201620122020
Current release1703
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinuxhostedDocker
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyes infowith proprietary extensions
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Atos Standard Common RepositoryMicrosoft Azure Table StoragePlanetScale
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