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DBMS > Microsoft Azure SQL Database vs. Spark SQL

System Properties Comparison Microsoft Azure SQL Database vs. Spark SQL

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Our visitors often compare Microsoft Azure SQL Database and Spark SQL with MySQL, Microsoft SQL Server and Snowflake.

Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.46
Rank#15  Overall
#10  Relational DBMS
Score19.45
Rank#35  Overall
#21  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­sql-databasespark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftApache Software Foundation
Initial release20102014
Current releaseV123.1.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
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 nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureSpark SQL
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Recent citations in the news

On Prem To The Cloud: Migrating to Azure SQL (episode 7) - Microsoft
13 April 2021, Channel 9

Top Tips To Make SQL Server Run Faster on Azure VMs
14 April 2021, Redmondmag.com

Creating Your First Azure SQL Database | Data Exposed - Microsoft
27 October 2020, Channel 9

Azure SQL Database Ranked Among Top 3 Databases of 2020
14 January 2021, Visual Studio Magazine

Introduction to Azure SQL for beginners (1 of 61) - Microsoft
5 August 2020, Channel 9

provided by Google News

Hadoop vs. Spark: Comparing the two big data frameworks
7 May 2021, TechTarget

Cloudera, Nvidia Team to Speed Cloud AI via Spark Cloud access to GPUs for AI development
13 April 2021, Datanami

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks
25 June 2020, Datanami

In Search of Multi-Modal Data Integration
5 May 2021, IT Jungle

Job Posting: Cincinnati Reds DevOps Developer
22 April 2021, FanGraphs

provided by Google News

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