From Wikipedia, the free encyclopedia
Cloud-based data warehouse service
BigQuery
is a managed,
serverless
data warehouse
product by
Google
, offering scalable analysis over large quantities of data. It is a
Platform as a Service
(
PaaS
) that supports querying using a dialect of
SQL
. It also has built-in
machine learning
capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
[1]
Design
[
edit
]
BigQuery provides external access to Google's
Dremel
technology,
[2]
[3]
a scalable, interactive
ad hoc
query system for analysis of nested data. BigQuery requires all requests to be authenticated, supporting a number of Google-proprietary mechanisms as well as
OAuth
.
Features
[
edit
]
- Managing data - Create and delete objects such as tables, views, and user defined functions. Import data from
Google Storage
in formats such as CSV, Parquet, Avro or JSON.
- Query - Queries are expressed in a SQL dialect
[4]
and the results are returned in
JSON
with a maximum reply length of approximately 128 MB, or an unlimited size when large query results are enabled.
[5]
- Integration - BigQuery can be used from
Google Apps Script
[6]
(e.g. as a bound script in
Google Docs
), or any language that can work with its REST API or client libraries.
[7]
- Access control - Share datasets with arbitrary individuals, groups, or the world.
- Machine learning - Create and execute machine learning models using SQL queries.
- Cross-cloud analytics - Analyze data across
Google Cloud
,
Amazon Web Services
, and
Microsoft Azure
[8]
[9]
- Data sharing - Exchange data and analytics assets across organizational boundaries.
[10]
- In-Memory analysis service -
BI Engine
built into BigQuery that enables users to analyze large and complex datasets interactively with sub-second query response time and high concurrency.
[11]
[12]
- Business intelligence - Visualize data from BigQuery by importing into
Data Studio
, a data visualization tool
[13]
Pricing
[
edit
]
The two main components of BigQuery pricing are the cost to process queries and the cost to store data. BigQuery offers two types of pricing - on demand pricing which charges for the number of petabytes processed for each query and flat-rate pricing which charges for slots or virtual CPUs.
[14]
Partnerships & integrations
[
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]
BigQuery partners and natively integrates with several tools:
[15]
Adoption
[
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]
Customers of BigQuery include 20th Century Fox, American Eagle Outfitters, HSBC, CNA Insurance, Asahi Group, ATB Financial, Athena, The Home Depot, Wayfair, Carrefour, Oscar Health, and several others.
[16]
Gartner named Google as a Leader in the 2021 Magic Quadrant™ for Cloud Database Management Systems.
[17]
BigQuery is also named a Leader in The 2021 Forrester Wave: Cloud Data Warehouse.
[18]
According to a study by Enterprise Strategy Group, BigQuery saves up to 27% in total cost of ownership over three years compared to other cloud data warehousing solutions.
[19]
References
[
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]
External links
[
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]
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