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DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. mSQL vs. SiteWhere vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. mSQL vs. SiteWhere vs. SWC-DB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 networksEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.mSQL (Mini SQL) is a simple and lightweight RDBMSM2M integration platform for persisting/querying time series dataA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comhughestech.com.au/­products/­msqlgithub.com/­sitewhere/­sitewheregithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.postgresql.fastware.com/­product-manualssitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHughes TechnologiesSiteWhereAlex Kashirin
Initial release2016199420102020
Current release1703Fujitsu Enterprise Postgres 14, January 20224.4, October 20210.5, April 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCCJavaC++
Server operating systemsLinuxLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesyespredefined schemeschema-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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HTTP RESTProprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
C++
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and by hashnoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneselectable replication factor infobased on HBase
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 ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyesyes
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 authenticationfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

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More resources
Atos Standard Common RepositoryFujitsu Enterprise PostgresmSQL infoMini SQLSiteWhereSWC-DB infoSuper Wide Column Database
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