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DBMS > Atos Standard Common Repository vs. Brytlyt vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Sadas Engine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSadas Engine  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 PostgreSQLElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServermSQL (Mini SQL) is a simple and lightweight RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.ioazure.microsoft.com/­services/­synapse-analyticshughestech.com.au/­products/­msqlwww.sadasengine.com
Technical documentationdocs.brytlyt.iodocs.microsoft.com/­azure/­synapse-analyticswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAtos Convergence CreatorsBrytlytMicrosoftHughes TechnologiesSADAS s.r.l.
Initial release20162016201619942006
Current release17035.0, August 20234.4, October 20218.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree licenses can be providedcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC++CC++
Server operating systemsLinuxLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLTransact SQLnono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryBrytlytMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousemSQL infoMini SQLSadas Engine
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