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DBMS > Atos Standard Common Repository vs. DataFS vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. DataFS vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTigerGraph  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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Database as a Service offering with high compatibility to Microsoft SQL ServerA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorynewdatabase.comcloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.tigergraph.com
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.tigergraph.com
DeveloperAtos Convergence CreatorsMobiland AGGoogleMicrosoft
Initial release20162018201720102017
Current release17031.1.263, October 2022V12
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinuxWindowshostedhostedLinux
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)yesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011yesSQL-like query language (GSQL)
APIs and other access methodsLDAP.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
VB.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersyesno, except callback-events from server when changes happenednoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono
User concepts infoAccess controlLDAP bind authenticationWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control

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More resources
Atos Standard Common RepositoryDataFSGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureTigerGraph
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