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DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. Interbase vs. MonetDB

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. Interbase vs. MonetDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterbase  Xexclude from comparisonMonetDB  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 networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Light-weight proven RDBMS infooriginally from BorlandA relational database management system that stores data in columns
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablewww.embarcadero.com/­products/­interbasewww.monetdb.org
Technical documentationcloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbasewww.monetdb.org/­Documentation
DeveloperAtos Convergence CreatorsGoogleEmbarcaderoMonetDB BV
Initial release2016201519842004
Current release1703InterBase 2020, December 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC
Server operating systemsLinuxhostedAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnono infoexport as XML data possible
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesyes infoSQL 2003 with some extensions
APIs and other access methodsLDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageyes, in SQL, C, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesInterbase Change Viewsnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGoogle Cloud BigtableInterbaseMonetDB
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