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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  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 PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.ioazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.ai
Technical documentationdocs.brytlyt.iodoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsBrytlytMicrosoftquasardb
Initial release2016201620122009
Current release17035.0, August 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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, C++ and CUDAC++
Server operating systemsLinuxLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes infointeger and binary
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.nono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryBrytlytMicrosoft Azure Table StorageQuasardb
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