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DBMS > Amazon Aurora vs. Amazon SimpleDB vs. DataFS vs. Google Cloud Datastore vs. Tibero

System Properties Comparison Amazon Aurora vs. Amazon SimpleDB vs. DataFS vs. Google Cloud Datastore vs. Tibero

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSKey-value storeObject oriented DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­simpledbnewdatabase.comcloud.google.com/­datastoreus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­simpledbdev.mobiland.com/­Overview.xspcloud.google.com/­datastore/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAmazonAmazonMobiland AGGoogleTmaxSoft
Initial release20152007201820082003
Current release1.1.263, October 20226, April 2015
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and Assembler
Server operating systemshostedhostedWindowshostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes, 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.yesnonoyes
Secondary indexesyesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLyesnonoSQL-like query language (GQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnousing Google App EnginePersistent Stored Procedure (PSM)
Triggersyesnono, except callback-events from server when changes happenedCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoSharding must be implemented in the applicationProprietary Sharding systemShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate 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
Foreign keys infoReferential integrityyesnoyesyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Windows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Amazon AuroraAmazon SimpleDBDataFSGoogle Cloud DatastoreTibero
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