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DBMS > Cloudant vs. Google BigQuery

System Properties Comparison Cloudant vs. Google BigQuery

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBLarge scale data warehouse service with append-only tables
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#82  Overall
#15  Document stores
Score29.65
Rank#25  Overall
#15  Relational DBMS
Websitecloudant.comcloud.google.com/­bigquery
Technical documentationdocs.cloudant.comcloud.google.com/­bigquery/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Google
Initial release20102010
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 indexesyesno
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functions infoin JavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)

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More resources
CloudantGoogle BigQuery
DB-Engines blog posts

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12 December 2019, Paul Andlinger

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Recent citations in the news

Introducing IBM Cloudant on Transaction Engine: Cloud Native by Design
23 June 2020, DevOps.com

IBM Expands Cloud Database Services with Kubernetes
26 September 2019, EnterpriseAI

IBM’s new CEO lays out his roadmap
5 May 2020, InfoWorld

IBM Research – Confidentiality and Governance of Cloud Services
24 April 2020, DevOps.com

Cloudant Contributes Database Scalability and Fault-Tolerance Framework to Apache CouchDB™
22 July 2013, PR Newswire

provided by Google News

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News




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