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DBMS > Atos Standard Common Repository vs. Postgres-XL vs. Snowflake vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Postgres-XL vs. Snowflake vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSnowflake  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud-based data warehousing service for structured and semi-structured dataPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgres-xl.orgwww.snowflake.com
Technical documentationwww.postgres-xl.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperAtos Convergence CreatorsSnowflake Computing Inc.Teradata
Initial release20162014 infosince 2012, originally named StormDB20142005
Current release170310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialcommercial
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
Server operating systemsLinuxLinux
macOS
hostedLinux
Data schemeSchema and schema-less with LDAP viewsyesyes infosupport of semi-structured data formats (JSON, XML, Avro)Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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 infoXML type, but no XML query functionalityyesyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionyesyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsR packages
Triggersyesyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryPostgres-XLSnowflakeTeradata Aster
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