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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. RDFox

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDFox  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeDocument store
Key-value store
Document storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­datastore/­docsdocs.oxfordsemantic.tech
DeveloperAmazonAtos Convergence CreatorsGoogleOxford Semantic Technologies
Initial release2007201620082017
Current release17036.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinuxhostedLinux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or datenooptionalyes, details hereyes
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.yesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)no
APIs and other access methodsRESTful HTTP APILDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnonousing Google App Engine
TriggersnoyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication using Paxosreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access types

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More resources
Amazon SimpleDBAtos Standard Common RepositoryGoogle Cloud DatastoreRDFox
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