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DBMS > Cloudant vs. GridDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Cloudant vs. GridDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBScalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#82  Overall
#15  Document stores
Score0.61
Rank#205  Overall
#11  Time Series DBMS
Score30.40
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloudant.comgriddb.netazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.cloudant.comdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Toshiba CorporationMicrosoft
Initial release201020132014
Current release4.5, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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 languageErlangC++
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyes 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.nono
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnoJavaScript
TriggersyesyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency within container, eventual consistency across containersBounded 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 datano infoatomic operations within a document possibleACID at container levelMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseAccess rights can be defined down to the item level
More information provided by the system vendor
CloudantGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» 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
CloudantGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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