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DBMS > GeoSpock vs. Microsoft Access vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. TDSQL for MySQL

System Properties Comparison GeoSpock vs. Microsoft Access vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial 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.)Search-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSVector DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial 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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-serverwww.tencentcloud.com/­products/­dcdb
Technical documentationdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-serverwww.tencentcloud.com/­document/­product/­1042
DeveloperGeoSpockMicrosoftMicrosoftMicrosoftTencent
Initial release1992201519892013
Current release2.0, September 20191902 (16.0.11328.20222), March 2019V1SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJava, JavascriptC++C++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLshostedLinux
Windows
hosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardnoyesyes
APIs and other access methodsJDBCADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyes infosince Access 2010 using the ACE-enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACIDACID
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.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
GeoSpockMicrosoft AccessMicrosoft Azure AI SearchMicrosoft SQL ServerTDSQL for MySQL
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