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DBMS > Amazon SimpleDB vs. Galaxybase vs. Google Cloud Datastore vs. Hypertable vs. IBM Cloudant

System Properties Comparison Amazon SimpleDB vs. Galaxybase vs. Google Cloud Datastore vs. Hypertable vs. IBM Cloudant

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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 ScioreScalable, ACID-compliant native distributed parallel graph platformAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDB
Primary database modelKey-value storeGraph DBMSDocument storeWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.75
Rank#104  Overall
#19  Document stores
Websiteaws.amazon.com/­simpledbgalaxybase.comcloud.google.com/­datastorewww.ibm.com/­products/­cloudant
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudant
DeveloperAmazonChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20072017200820092010
Current releaseNov 20, November 20210.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC++Erlang
Server operating systemshostedLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeStrong typed schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes, details herenono
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)nono
APIs and other access methodsRESTful HTTP APIBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnouser defined procedures and functionsusing Google App EnginenoView functions (Map-Reduce) in JavaScript
TriggersnoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users can be defined per database

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More resources
Amazon SimpleDBGalaxybaseGoogle Cloud DatastoreHypertableIBM Cloudant
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