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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonCitus  Xexclude from comparisonMicrosoft Azure Table Storage  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.citusdata.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.brytlyt.iodocs.citusdata.com
DeveloperAtos Convergence CreatorsBrytlytMicrosoft
Initial release2016201620102012
Current release17035.0, August 20238.1, December 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC
Server operating systemsLinuxLinux
OS X
Windows
Linuxhosted
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
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.yesyes infospecific XML-type available, but no XML query functionality.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyes infostandard, with numerous extensionsno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDoptimistic locking
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.yesnono
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
Atos Standard Common RepositoryBrytlytCitusMicrosoft Azure Table Storage
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