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DBMS > Cloudant vs. DolphinDB vs. Google BigQuery vs. Microsoft Access

System Properties Comparison Cloudant vs. DolphinDB vs. Google BigQuery vs. Microsoft Access

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  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.)
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#82  Overall
#14  Document stores
Score0.39
Rank#225  Overall
#13  Time Series DBMS
Score27.59
Rank#26  Overall
#15  Relational DBMS
Score119.90
Rank#10  Overall
#7  Relational DBMS
Websitecloudant.comwww.dolphindb.comcloud.google.com/­bigqueryproducts.office.com/­en-us/­access
Technical documentationdocs.cloudant.comwww.dolphindb.com/­helpcloud.google.com/­bigquery/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DolphinDB, IncGoogleMicrosoft
Initial release2010201820101992
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++
Server operating systemshostedLinux
Windows
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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
SQL infoSupport of SQLnoSQL-like query languageyesyes infobut not compliant to any SQL standard
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
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
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersyesnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 logging
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
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 2003

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More resources
CloudantDolphinDBGoogle BigQueryMicrosoft Access
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