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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. TimescaleDB

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTimescaleDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMicrosoft 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.)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.timescale.com
Technical documentationdocs.aws.amazon.com/­simpledbdeveloper.microsoft.com/­en-us/­accessdocs.timescale.com
DeveloperAmazonAtos Convergence CreatorsGeoSpockMicrosoftTimescale
Initial release2007201619922017
Current release17032.0, September 20191902 (16.0.11328.20222), March 20192.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++C
Server operating systemshostedLinuxhostedWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or datenooptionalyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnoyes
Secondary indexesyes infoAll columns are indexed automaticallyyestemporal, categoricalyesyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APILDAPJDBCADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionAutomatic shardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBAtos Standard Common RepositoryGeoSpockMicrosoft AccessTimescaleDB
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