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DBMS > Atos Standard Common Repository vs. Microsoft Access vs. Microsoft Azure AI Search vs. SpaceTime vs. TDengine

System Properties Comparison Atos Standard Common Repository vs. Microsoft Access vs. Microsoft Azure AI Search vs. SpaceTime vs. TDengine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpaceTime  Xexclude from comparisonTDengine  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 networksMicrosoft 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 developmentSpaceTime is a spatio-temporal DBMS with a focus on performance.Time Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineSpatial DBMSTime Series DBMS
Secondary database modelsVector DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.mireo.com/­spacetimegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchdocs.tdengine.com
DeveloperAtos Convergence CreatorsMicrosoftMicrosoftMireoTDEngine, previously Taos Data
Initial release20161992201520202019
Current release17031902 (16.0.11328.20222), March 2019V13.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialcommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLshostedLinuxLinux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 indexesyesyesyesnono
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoA subset of ANSI SQL is implementedStandard SQL with extensions for time-series applications
APIs and other access methodsLDAPADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIRESTful HTTP APIJDBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
C#
C++
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenonono
Triggersyesyes infosince Access 2010 using the ACE-enginenonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud serviceFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud serviceReal-time block device replication (DRBD)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infobut no files for transaction loggingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
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 authenticationno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationyesyes
More information provided by the system vendor
Atos Standard Common RepositoryMicrosoft AccessMicrosoft Azure AI SearchSpaceTimeTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Atos Standard Common RepositoryMicrosoft AccessMicrosoft Azure AI SearchSpaceTimeTDengine
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