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DBMS > Google BigQuery

Google BigQuery System Properties

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Our visitors often compare Google BigQuery with Google Cloud Datastore, Amazon Redshift and Google Cloud Bigtable.

Editorial information provided by DB-Engines
NameGoogle BigQuery
DescriptionLarge scale data warehouse service with append-only tables
Primary database modelRelational DBMS
Additional database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.87
Rank#34  Overall
#21  Relational DBMS
Websitecloud.google.com/­bigquery
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperGoogle
Initial release2010
License infoCommercial or Open Sourcecommercial
Cloud-based infoOnly available as a cloud serviceyes
Server operating systemshosted
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of (almost entire) SQL standard (DML, DDL and DCL statements)yes
APIs and other access methodsRESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables

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More resources
Google BigQuery
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

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Recent citations in the news

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

Google BigQuery Analytics
20 August 2014, iProgrammer

provided by Google News




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