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DBMS > Amazon Redshift vs. Microsoft Azure SQL Database vs. PlanetScale vs. Vitess

System Properties Comparison Amazon Redshift vs. Microsoft Azure SQL Database vs. PlanetScale vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPlanetScale  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­redshiftazure.microsoft.com/­en-us/­products/­azure-sql/­databaseplanetscale.comvitess.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.microsoft.com/­en-us/­azure/­azure-sqlplanetscale.com/­docsvitess.io/­docs
DeveloperAmazon (based on PostgreSQL)MicrosoftPlanetScaleThe Linux Foundation, PlanetScale
Initial release2012201020202013
Current releaseV1215.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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++GoGo
Server operating systemshostedhostedDocker
Linux
macOS
Docker
Linux
macOS
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.noyes
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyes infowith proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PythonTransact SQLyes infoproprietary syntaxyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyes infonot for MyISAM storage engineyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes infotable locks or row locks depending on storage engine
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon RedshiftMicrosoft Azure SQL Database infoformerly SQL AzurePlanetScaleVitess
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