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DBMS > Amazon CloudSearch vs. Microsoft Azure Table Storage vs. Sequoiadb vs. STSdb

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure Table Storage vs. Sequoiadb vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSequoiadb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA Wide Column Store for rapid development using massive semi-structured datasetsNewSQL database with distributed OLTP and SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineWide column storeDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­en-us/­services/­storage/­tableswww.sequoiadb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonMicrosoftSequoiadb Ltd.STS Soft SC
Initial release2012201220132011
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoGPLv2, commercial license 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#
Server operating systemshostedhostedLinuxWindows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyesno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsHTTP APIRESTful HTTP APIproprietary protocol using JSON.NET Client API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights based on private key authentication or shared access signaturessimple password-based access controlno

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More resources
Amazon CloudSearchMicrosoft Azure Table StorageSequoiadbSTSdb
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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21 October 2014, AWS Blog

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19 November 2014, AWS Blog

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