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DBMS > Atos Standard Common Repository vs. atoti vs. Brytlyt vs. Google BigQuery vs. InterSystems IRIS

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Brytlyt vs. Google BigQuery vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  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 networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#249  Overall
#10  Object oriented DBMS
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score3.82
Rank#91  Overall
#15  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#47  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iobrytlyt.iocloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.atoti.iodocs.brytlyt.iocloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAtos Convergence CreatorsActiveViamBrytlytGoogleInterSystems
Initial release2016201620102018
Current release17035.0, August 20232023.3, June 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++ and CUDA
Server operating systemsLinuxLinux
OS X
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesdepending on used data model
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.noyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)yesyesyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonuser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes
More information provided by the system vendor
Atos Standard Common RepositoryatotiBrytlytGoogle BigQueryInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Atos Standard Common RepositoryatotiBrytlytGoogle BigQueryInterSystems IRIS
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