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DBMS > Atos Standard Common Repository vs. EDB Postgres vs. Netezza vs. RDFox vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. EDB Postgres vs. Netezza vs. RDFox vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEDB Postgres  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDFox  Xexclude from comparisonTimescaleDB  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 networksThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Data warehouse and analytics appliance part of IBM PureSystemsHigh performance knowledge graph and semantic reasoning engineA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.enterprisedb.comwww.ibm.com/­products/­netezzawww.oxfordsemantic.techwww.timescale.com
Technical documentationwww.enterprisedb.com/­docsdocs.oxfordsemantic.techdocs.timescale.com
DeveloperAtos Convergence CreatorsEnterpriseDBIBMOxford Semantic TechnologiesTimescale
Initial release20162005200020172017
Current release170314, December 20216.0, Septermber 20222.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++C
Server operating systemsLinuxLinux
Windows
Linux infoincluded in applianceLinux
macOS
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateoptionalyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
C
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoby hash, list or rangeShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationreplication via a shared file systemSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryEDB PostgresNetezza infoAlso called PureData System for Analytics by IBMRDFoxTimescaleDB
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