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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonVictoriaMetrics  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.
DescriptionHighly 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.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticsvictoriametrics.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAtos Convergence CreatorsGeoSpockMicrosoftMicrosoftVictoriaMetrics
Initial release2016199220162018
Current release17032.0, September 20191902 (16.0.11328.20222), March 2019v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2.0
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 languageJavaJava, JavascriptC++C++Go
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
macOS
OpenBSD
Data schemeSchema and schema-less with LDAP viewsyesyesyes
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.yesnonono
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyesno
APIs and other access methodsLDAPJDBCADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineTransact SQLno
Triggersyesnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSynchronous 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
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 can be defined per tableno infoa simple user-level security was built in till version Access 2003yes

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More resources
Atos Standard Common RepositoryGeoSpockMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVictoriaMetrics
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