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DBMS > Atos Standard Common Repository vs. PostgreSQL vs. Spark SQL vs. SWC-DB vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. PostgreSQL vs. Spark SQL vs. SWC-DB vs. TimesTen

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTimesTen  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 networksWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.orgspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationAlex KashirinOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20161989 info1989: Postgres, 1996: PostgreSQL201420201998
Current release170316.3, May 20243.5.0 ( 2.13), September 20230.5, April 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScalaC++
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C++C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoPL/SQL
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication
Source-replica replication
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryPostgreSQLSpark SQLSWC-DB infoSuper Wide Column DatabaseTimesTen
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