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DBMS > Microsoft Azure SQL Database vs. SiteWhere vs. Spark SQL

System Properties Comparison Microsoft Azure SQL Database vs. SiteWhere vs. Spark SQL

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftSiteWhereApache Software Foundation
Initial release201020102014
Current releaseV123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScala
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP RESTJDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresTransact SQLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureSiteWhereSpark SQL
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