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DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. Microsoft Azure SQL Database vs. SWC-DB vs. Vitess

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. Microsoft Azure SQL Database vs. SWC-DB vs. Vitess

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVitess  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Database as a Service offering with high compatibility to Microsoft SQL ServerA high performance, scalable Wide Column DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
vitess.io
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.microsoft.com/­en-us/­azure/­azure-sqlvitess.io/­docs
DeveloperAtos Convergence CreatorsCloudflareMicrosoftAlex KashirinThe Linux Foundation, PlanetScale
Initial release20162018201020202013
Current release1703V120.5, April 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Go
Server operating systemsLinuxhostedhostedLinuxDocker
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsLDAPHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++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 proceduresnonoTransact SQLnoyes infoproprietary syntax
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with always 3 replicas availableMulti-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 configurationEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Atos Standard Common RepositoryCloudflare Workers KVMicrosoft Azure SQL Database infoformerly SQL AzureSWC-DB infoSuper Wide Column DatabaseVitess
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