DBMS > Google BigQuery

Google BigQuery System Properties

Please select another system to compare it with Google BigQuery.

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

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

Database model

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	10.05
Rank	#38	Overall
	#25	Relational DBMS

Website

developers.google.com/bigquery

Technical documentation

cloud.google.com/bigquery/docs

Developer

Google

Initial release

2010

License

Commercial or Open Source

commercial

Cloud-based

Only available as a cloud service

yes

Server operating systems

hosted

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of (almost entire) SQL standard (DML, DDL and DCL statements)

yes

APIs and other access methods

RESTful HTTP/JSON API

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

in JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Since BigQuery is designed for querying data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access privileges (owner, writer, reader) for whole datasets, not for individual tables

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

3rd party products and services

CData: Connect to Big Data & NoSQL through standard Drivers.

Connect Apps, BI, & ETL Tools
to Google BigQuery

Easily connect BI, Analytics, Reporting, and Custom Apps
with Big Data & NoSQL databases.

Connect to Big Data & NoSQL databases without writing code! Our state-of-the-art Drivers let you read, write, and update big data sources through a standard database interface - just like using SQL Server. Trial downloads are available at www.cdata.com/drivers.

Big Data & NoSQL Drivers:
MongoDB, Google BigQuery, Cassandra,
and Other Big Data & Cloud sources ...

Popular Articles

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources

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

show all

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

Google BigQuery System Properties

More information provided by the system vendor

Share this page