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

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

Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  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 tablesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.67
Rank#79  Overall
#13  Document stores
Score0.31
Rank#242  Overall
#15  Time Series DBMS
Score27.97
Rank#26  Overall
#15  Relational DBMS
Score121.92
Rank#10  Overall
#7  Relational DBMS
Score32.05
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloudant.comwww.dolphindb.comcloud.google.com/­bigqueryproducts.office.com/­en-us/­accessazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.cloudant.comwww.dolphindb.com/­helpcloud.google.com/­bigquery/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DolphinDB, IncGoogleMicrosoftMicrosoft
Initial release20102018201019922014
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++C++
Server operating systemshostedLinux
Windows
hostedWindows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes 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 indexesyesnonoyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageyesyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
DocumentDB 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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.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 JavaScriptyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyesnonoyes infosince Access 2010 using the ACE-engineJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonowith 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 integritynononoyesno
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 dataACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
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)no infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item level

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