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DBMS > Atos Standard Common Repository vs. DataFS vs. Microsoft Azure Synapse Analytics vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Microsoft Azure Synapse Analytics vs. Riak TS

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDataFS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRiak TS  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 networksAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorynewdatabase.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdev.mobiland.com/­Overview.xspdocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAtos Convergence CreatorsMobiland AGMicrosoftOpen Source, formerly Basho Technologies
Initial release2016201820162015
Current release17031.1.263, October 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Erlang
Server operating systemsLinuxWindowshostedLinux
OS X
Data schemeSchema and schema-less with LDAP viewsClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesnonono
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLnonoyesyes, limited
APIs and other access methodsLDAP.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
VB.Net
C#
Java
PHP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLErlang
Triggersyesno, except callback-events from server when changes happenednoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionProprietary Sharding systemSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationWindows-Profileyesno

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More resources
Atos Standard Common RepositoryDataFSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRiak TS
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