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DBMS > Amazon Redshift vs. Microsoft Azure Synapse Analytics vs. Spark SQL

System Properties Comparison Amazon Redshift vs. Microsoft Azure Synapse Analytics vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.86
Rank#32  Overall
#18  Relational DBMS
Score17.90
Rank#39  Overall
#24  Relational DBMS
Score23.33
Rank#33  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­redshiftazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftdocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)MicrosoftApache Software Foundation
Initial release201220162014
Current release3.2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Scala
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeyesyesyes
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.nonono
Secondary indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
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 integrityyes infoinformational only, not enforced by the systemno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno

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More resources
Amazon RedshiftMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQL
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Recent citations in the news

Stacking up: Building a modern data warehouse with Amazon Redshift
10 November 2021, The Register

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24 November 2021, Help Net Security

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Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

Microsoft open-sources SynapseML for developing AI pipelines
17 November 2021, VentureBeat

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Apache Spark Brings Pandas API with Version 3.2
4 November 2021, InfoQ.com

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Spark Gets Closer Hooks to Pandas, SQL with Version 3.2
26 October 2021, Datanami

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