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DBMS > Atos Standard Common Repository vs. Google BigQuery

System Properties Comparison Atos Standard Common Repository vs. Google BigQuery

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Our visitors often compare Atos Standard Common Repository and Google BigQuery with InterSystems IRIS, MongoDB and Oracle.

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  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 networksLarge scale data warehouse service with append-only tables
Primary database modelDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.92
Rank#25  Overall
#16  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquery
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperAtos Convergence CreatorsGoogle
Initial release20162010
Current release1703
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinuxhosted
Data schemeSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateoptionalyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLnoyes
APIs and other access methodsLDAPRESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Atos Standard Common RepositoryGoogle BigQuery
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