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DBMS > Google Cloud Spanner vs. Microsoft SQL Server vs. ObjectBox vs. SWC-DB

System Properties Comparison Google Cloud Spanner vs. Microsoft SQL Server vs. ObjectBox vs. SWC-DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 DBMSExtremely fast embedded database for small devices, IoT and MobileA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitecloud.google.com/­spannerwww.microsoft.com/­en-us/­sql-serverobjectbox.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcloud.google.com/­spanner/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.io
DeveloperGoogleMicrosoftObjectBox LimitedAlex Kashirin
Initial release2017198920172020
Current releaseSQL Server 2022, November 20220.5, April 2021
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C and C++C++
Server operating systemshostedLinux
Windows
Android
iOS
Linux
macOS
Windows
Linux
Data schemeyesyesyesschema-free
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesnoSQL-like query language
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)
Proprietary native APIProprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
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 Editiononline/offline synchronization between client and server
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
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.noyesnono
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-standardyes
More information provided by the system vendor
Google Cloud SpannerMicrosoft SQL ServerObjectBoxSWC-DB infoSuper Wide Column Database
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More resources
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