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DBMS > Google Cloud Spanner vs. Microsoft SQL Server vs. mSQL vs. SAP HANA

System Properties Comparison Google Cloud Spanner vs. Microsoft SQL Server vs. mSQL vs. SAP HANA

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSAP HANA  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.Microsofts flagship relational DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score45.84
Rank#22  Overall
#16  Relational DBMS
Websitecloud.google.com/­spannerwww.microsoft.com/­en-us/­sql-serverhughestech.com.au/­products/­msqlwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­spanner/­docslearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperGoogleMicrosoftHughes TechnologiesSAP
Initial release2017198919942010
Current releaseSQL Server 2022, November 20224.4, October 20212.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Appliance or cloud-service
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
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
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoSQLScript, R
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.noyesnoyes
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-standardnoyes

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More resources
Google Cloud SpannerMicrosoft SQL ServermSQL infoMini SQLSAP HANA
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