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DBMS > Cloudant vs. DolphinDB vs. Google BigQuery vs. Microsoft Azure Cosmos DB

System Properties Comparison Cloudant vs. DolphinDB vs. Google BigQuery vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageLarge scale data warehouse service with append-only tablesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.68
Rank#82  Overall
#15  Document stores
Score0.47
Rank#217  Overall
#11  Time Series DBMS
Score28.29
Rank#26  Overall
#15  Relational DBMS
Score30.80
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloudant.comwww.dolphindb.comcloud.google.com/­bigqueryazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.cloudant.comwww.dolphindb.com/­helpcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DolphinDB, IncGoogleMicrosoft
Initial release2010201820102014
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemshostedLinux
Windows
hostedhosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes 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.nonono
Secondary indexesyesnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
JavaScript
Python
R
.Net
Java
JavaScript
Objective-C
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 JavaScriptyesuser defined functions infoin JavaScriptJavaScript
TriggersyesnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyBounded 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 datano infoatomic operations within a document possibleyesno infoSince BigQuery is designed for querying dataMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAdministrators, Users, GroupsAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item level

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More resources
CloudantDolphinDBGoogle BigQueryMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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