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DBMS > Google BigQuery vs. IBM Cloudant

System Properties Comparison Google BigQuery vs. IBM Cloudant

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Our visitors often compare Google BigQuery and IBM Cloudant with MongoDB, Amazon DynamoDB and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score35.58
Rank#24  Overall
#15  Relational DBMS
Score3.12
Rank#91  Overall
#17  Document stores
Websitecloud.google.com/­bigquerywww.ibm.com/­cloud/­cloudant
Technical documentationcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudant
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
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 schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesnoyes
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic locking
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 privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per database

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More resources
Google BigQueryIBM Cloudant
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