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DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. Microsoft Access vs. Microsoft Azure AI Search vs. TerminusDB

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. Microsoft Access vs. Microsoft Azure AI Search vs. TerminusDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app developmentScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Relational DBMSSearch engineGraph DBMS
Secondary database modelsVector DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchterminusdb.com
Technical documentationcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchterminusdb.github.io/­terminusdb/­#
DeveloperAtos Convergence CreatorsGoogleMicrosoftMicrosoftDataChemist Ltd.
Initial release20162015199220152018
Current release17031902 (16.0.11328.20222), March 2019V111.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Prolog, Rust
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLshostedLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnoSQL-like query language (WOQL)
APIs and other access methodsLDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenoyes
Triggersyesnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoImplicit feature of the cloud serviceGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoImplicit feature of the cloud serviceJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic single-row operationsACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationRole-based access control

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More resources
Atos Standard Common RepositoryGoogle Cloud BigtableMicrosoft AccessMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
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