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

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaunaDB  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 cloudStrongly consistent database capable of global horizontal scale with a focus on operational simplicityGlobally distributed, horizontally scalable, multi-model database service
Primary database modelSearch engineDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score0.48
Rank#208  Overall
#31  Document stores
#17  Graph DBMS
#99  Relational DBMS
#11  Time Series DBMS
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­cloudsearchfauna.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­cloudsearchfauna.com/­documentationdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperAmazonFauna, Inc.Microsoft
Initial release201220142014
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemshostedLinuxhosted
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 APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnouser defined functionsJavaScript
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMasterlessyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 signaturesIdentity management, authentication, and access controlAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon CloudSearchFaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersNextdoor ShiftX
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

Enterprise Search Software Market to See huge growth by 2025 | Algolia, Elasticsearch, Apache Solr, SearchSpring
22 October 2019, The Market Journal

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
15 October 2019, Market Report Gazette

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
11 October 2019, Market Expert

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7 October 2019, Market Expert

Enterprise Search Software Market Will Generate New Growth Opportunities By 2027| Leading Key Players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
8 October 2019, Market Expert

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