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DBMS > Microsoft Azure SQL Database vs. PlanetScale vs. Tkrzw vs. Vitess

System Properties Comparison Microsoft Azure SQL Database vs. PlanetScale vs. Tkrzw vs. Vitess

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPlanetScale  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational 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
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaseplanetscale.comdbmx.net/­tkrzwvitess.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlplanetscale.com/­docsvitess.io/­docs
DeveloperMicrosoftPlanetScaleMikio HirabayashiThe Linux Foundation, PlanetScale
Initial release2010202020202013
Current releaseV120.9.3, August 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++Go
Server operating systemshostedDocker
Linux
macOS
Linux
macOS
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.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
C++
Java
Python
Ruby
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 proceduresTransact SQLyes infoproprietary syntaxnoyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableMulti-source replication
Source-replica replication
noneMulti-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage enginenoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes 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.yesyes infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Microsoft Azure SQL Database infoformerly SQL AzurePlanetScaleTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVitess
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