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DBMS > InterSystems Caché vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. SpaceTime

System Properties Comparison InterSystems Caché vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. SpaceTime

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpaceTime  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverMicrosoft 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 ServerMicrosofts flagship relational DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational 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
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticswww.microsoft.com/­en-us/­sql-serverwww.mireo.com/­spacetime
Technical documentationdocs.intersystems.comdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperInterSystemsMicrosoftMicrosoftMicrosoftMireo
Initial release19971992201619892020
Current release2018.1.4, May 20201902 (16.0.11328.20222), March 2019SQL 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 servicenonoyesnono
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 languageC++C++C++C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLshostedLinux
Windows
Linux
Data schemedepending on used data modelyesyesyesyes
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.yesnoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardyesyesA subset of ANSI SQL is implemented
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesC#
C++
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Python
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesyes, but depending on the SQL-Server EditionReal-time block device replication (DRBD)
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 integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDACIDno
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.yesyesno
User concepts infoAccess controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003yesfine grained access rights according to SQL-standardyes

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More resources
InterSystems CachéMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft SQL ServerSpaceTime
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