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DBMS > Amazon SimpleDB vs. Microsoft Azure Synapse Analytics vs. RDFox vs. Vitess

System Properties Comparison Amazon SimpleDB vs. Microsoft Azure Synapse Analytics vs. RDFox vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDFox  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerHigh performance knowledge graph and semantic reasoning engineScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbazure.microsoft.com/­services/­synapse-analyticswww.oxfordsemantic.techvitess.io
Technical documentationdocs.aws.amazon.com/­simpledbdocs.microsoft.com/­azure/­synapse-analyticsdocs.oxfordsemantic.techvitess.io/­docs
DeveloperAmazonMicrosoftOxford Semantic TechnologiesThe Linux Foundation, PlanetScale
Initial release2007201620172013
Current release6.0, Septermber 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen 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++C++Go
Server operating systemshostedhostedLinux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesyesyes
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.no
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C
Java
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
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesreplication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesRoles, resources, and access typesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDFoxVitess
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