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DBMS > Google Cloud Spanner vs. Microsoft Azure SQL Database vs. MySQL

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure SQL Database vs. MySQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Database as a Service offering with high compatibility to Microsoft SQL ServerWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score75.37
Rank#16  Overall
#11  Relational DBMS
Score987.11
Rank#2  Overall
#2  Relational DBMS
Websitecloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.mysql.com
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldev.mysql.com/­doc
DeveloperGoogleMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release201720101995
Current releaseV129.0.0, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
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 languageC++C and C++
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyes infowith proprietary extensions
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.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
Server-side scripts infoStored proceduresnoTransact SQLyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureMySQL
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Recent citations in the news

Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%
22 March 2025, infoq.com

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

Google Releases Spanner Graph into General Availability
19 February 2025, infoq.com

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

provided by Google News

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16 November 2024, infoq.com

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