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DBMS > Amazon DocumentDB vs. Google Cloud Spanner vs. Microsoft SQL Server vs. MySQL vs. ObjectBox

System Properties Comparison Amazon DocumentDB vs. Google Cloud Spanner vs. Microsoft SQL Server vs. MySQL vs. ObjectBox

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMySQL  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA 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 DBMSWidely used open source RDBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­spannerwww.microsoft.com/­en-us/­sql-serverwww.mysql.comobjectbox.io
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­spanner/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdev.mysql.com/­docdocs.objectbox.io
DeveloperGoogleMicrosoftOracle infosince 2010, originally MySQL AB, then SunObjectBox Limited
Initial release20192017198919952017
Current releaseSQL Server 2022, November 20228.4.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++C and C++C and C++
Server operating systemshostedhostedLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesyes infowith proprietary extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (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)
ADO.NET
JDBC
ODBC
Proprietary native API
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoproprietary syntaxno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication with 3 replicas for regional instances.yes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoStrict serializable isolationACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess 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 rolesyes
More information provided by the system vendor
Amazon DocumentDBGoogle Cloud SpannerMicrosoft SQL ServerMySQLObjectBox
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More resources
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