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DBMS > Amazon CloudSearch vs. Cloudant vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon CloudSearch vs. Cloudant vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database service
Primary database modelSearch engineDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#85  Overall
#9  Search engines
Score3.80
Rank#75  Overall
#14  Document stores
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­cloudsearchcloudant.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.cloudant.comdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperAmazonIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release201220102014
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedhostedhosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON types
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 indexedyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptJavaScript
TriggersnoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication
Master-slave replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseAccess rights can be defined down to the item level

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More resources
Amazon CloudSearchCloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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Recent citations in the news

Enterprise Semantic Search Software Market to See Major Growth by 2027 | Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
12 November 2019, Market Expert

Enterprise Search Software Market 2019-2025 Rising Factors in Near Future By Top Key Players SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
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Enterprise Search Software Market to 2027 scrutinized in new research including leading players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
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2 November 2019, Market Expert

Enterprise Search Software Market to Exhibit Impressive Growth during 2019 – 2027 with Top Key Players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
7 November 2019, Market Expert

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