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DBMS > Atos Standard Common Repository vs. Datomic vs. Microsoft SQL Server vs. RDFox

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Microsoft SQL Server vs. RDFox

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDFox  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosofts flagship relational DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.microsoft.com/­en-us/­sql-serverwww.oxfordsemantic.tech
Technical documentationdocs.datomic.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oxfordsemantic.tech
DeveloperAtos Convergence CreatorsCognitectMicrosoftOxford Semantic Technologies
Initial release2016201219892017
Current release17031.0.6735, June 2023SQL Server 2022, November 20226.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaJava, ClojureC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages with LDAP bindingsClojure
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
TriggersyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peerstables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes, but depending on the SQL-Server Editionreplication via a shared file system
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 ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Atos Standard Common RepositoryDatomicMicrosoft SQL ServerRDFox
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