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DBMS > Amazon Redshift vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. Spark SQL

System Properties Comparison Amazon Redshift vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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 toolsCloud-based data warehousing serviceElastic, 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.94
Rank#31  Overall
#18  Relational DBMS
Score1.86
Rank#129  Overall
#63  Relational DBMS
Score20.66
Rank#36  Overall
#22  Relational DBMS
Score22.86
Rank#35  Overall
#21  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.ibm.com/­products/­db2-warehouseazure.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)IBMMicrosoftApache Software Foundation
Initial release2012201420162014
Current release3.2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Scala
Server operating systemshostedhostedhostedLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesrestrictedyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonPL/SQL, SQL PLTransact SQLno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesno 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 dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno

More information provided by the system vendor

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Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQL
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