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DBMS > Amazon CloudSearch vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. STSdb

System Properties Comparison Amazon CloudSearch vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGlobally distributed, horizontally scalable, multi-model database serviceKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineGraph DBMS
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.graphengine.ioazure.microsoft.com/­services/­cosmos-dbgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.graphengine.io/­docs/­manuallearn.microsoft.com/­azure/­cosmos-db
DeveloperAmazonMicrosoftMicrosoftSTS Soft SC
Initial release2012201020142011
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC#
Server operating systemshosted.NEThostedWindows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes 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.no
Secondary indexesyes infoall search fields are automatically indexedyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsHTTP APIRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
.NET Client API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
Java
Server-side scripts infoStored proceduresnoyesJavaScriptno
TriggersnonoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights can be defined down to the item levelno

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More resources
Amazon CloudSearchGraph Engine infoformer name: TrinityMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSTSdb
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