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DBMS > Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. TempoIQ vs. Warp 10

System Properties Comparison Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. TempoIQ vs. Warp 10

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonWarp 10  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionMicrosoft 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 ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresScalable analytics DBMS for sensor data, provided as a service (SaaS)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgtempoiq.com (offline)www.warp10.io
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftMicrosoftTempoIQSenX
Initial release199220162014 infosince 2012, originally named StormDB20122015
Current release1902 (16.0.11328.20222), March 201910 R1, October 2018
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoMozilla public licensecommercialOpen Source infoApache License 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 languageC++C++CJava
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesyes infodistributed, parallel query executionnono
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineTransact SQLuser defined functionsnoyes infoWarpScript
Triggersyes infosince Access 2010 using the ACE-enginenoyesyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003yesfine grained access rights according to SQL-standardsimple authentication-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Microsoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLTempoIQ infoformerly TempoDBWarp 10
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