BigQuery: Cloud Data Warehouse

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BigQuery

Serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility.

Try BigQuery free

Analyze petabytes of data using ANSI SQL at blazing-fast speeds, with zero operational overhead
Run analytics at scale with 26%–34% lower three-year TCO than cloud data warehouse alternatives
Democratize insights with a trusted, and more secure platform that scales with your needs
Gain insights from data across clouds with a flexible, multi-cloud analytics solution

Forrester Research names Google Cloud a Leader in Data Management for Analytics

Gain insights with real-time and predictive analytics

Query streaming data in real time and get up-to-date information on all your business processes. Predict business outcomes easily with built-in machine learning and without the need to move data.

Securely access and share analytical insights in your organization with a few clicks. Easily create stunning reports and dashboards using popular business intelligence tools, out of the box.

Protect your data and operate with trust

Rely on BigQuery’s robust security, governance and reliability controls that offer high availability and a 99.99% uptime SLA. Protect your data with encryption by default and customer-managed encryption keys.

Key features

BigQuery Omni (private alpha)

BigQuery Omni is a flexible, multi-cloud analytics solution, powered by Anthos, that allows you to analyze data across clouds. Use standard SQL and BigQuery’s familiar interface to quickly answer questions and share results from a single pane of glass across your datasets. Complete this form to learn more.

BigQuery ML

BigQuery ML enables data scientists and data analysts to build and operationalize ML models on planet-scale structured or semi-structured data, directly inside BigQuery, using simple SQL—in a fraction of the time. Export BigQuery ML models for online prediction into Cloud AI Platform or your own serving layer. Learn more about the models we currently support.

BigQuery BI Engine

BigQuery BI Engine is a blazing-fast in-memory analysis service for BigQuery that allows users to analyze large and complex datasets interactively with sub-second query response time and high concurrency. BigQuery BI Engine seamlessly integrates with familiar tools like Data Studio and will help accelerate data exploration and analysis for Looker, Sheets, and our BI partners in the coming months.

BigQuery GIS

BigQuery GIS uniquely combines the serverless architecture of BigQuery with native support for geospatial analysis, so you can augment your analytics workflows with location intelligence. Simplify your analyses, see spatial data in fresh ways, and unlock entirely new lines of business with support for arbitrary points, lines, polygons, and multi-polygons in common geospatial data formats.

Connected Sheets

Connected Sheets allows users to analyze billions of rows of live BigQuery data in Google Sheets without requiring SQL knowledge. Users can apply familiar tools—like pivot tables, charts, and formulas—to easily derive insights from big data. Learn more about Connected Sheets and how to get started here.

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44:33

VIDEO

Modern data warehousing with BigQuery

Customers

Data analysis platform with modeling and machine learning capability

02:21

UPS uses BigQuery to achieve precise package volume forecasting for the company.

Story highlights

More than 1 billion data points analyzed daily
ML models help to maximize asset use & scale for the company
Prescriptive analytics for supply-chain efficiency

Industry

Retail and consumer goods

Twitter modernizes ad engagement analytics platform and aggregates millions of metrics per second.

The Home Depot nails its customer service with timely data that helps keep 50K items stocked across 2K stores.

Dow Jones unlocks business value of 1.3 billion news articles and uncovers hidden relationships and insights.

See all customers

What's new

Report

BigQuery can provide a 26%–34% lower 3-year TCO than cloud EDW alternatives Read report

Blog post

Purchase BigQuery flex slots for as little as 60 seconds at a time Read the blog

Blog post

Query data without a credit card: Learn how to get started with BigQuery sandbox Read the blog

Report

BigQuery can provide 41%–52% lower TCO over 3 years than legacy EDW deployments Read report

Report

Better Together: BigQuery & Looker help make petabytes of data easily accessible Learn more

Event

Engage in the BigQuery Weekly Data Challenge for a chance to win $500 in credits Register now

Documentation

Quickstart

Quickstart using the web UI

Learn how to use the BigQuery web UI in the GCP Console as a visual interface to complete tasks like running queries, loading data, and exporting data.

Serverless	With serverless data warehousing, Google does all resource provisioning behind the scenes, so you can focus on data and analysis rather than worrying about upgrading, securing, or managing the infrastructure.
Real-time analytics	BigQuery’s high-speed streaming insertion API provides a powerful foundation for real-time analytics, making your latest business data immediately available for analysis. You can also leverage Pub/Sub and Dataflow to stream data into BigQuery.
Automatic high availability	BigQuery transparently and automatically provides highly durable, replicated storage in multiple locations and high availability with no extra charge and no additional setup.
Standard SQL	BigQuery supports a standard SQL dialect that is ANSI:2011 compliant, which reduces the need for code rewrites. BigQuery also provides ODBC and JDBC drivers at no cost to ensure your current applications can interact with its powerful engine.
Federated query and logical data warehousing	Through powerful federated queries, BigQuery can process external data sources in object storage (Cloud Storage) for Parquet and ORC open source file formats, transactional databases (Bigtable, Cloud SQL), or spreadsheets in Drive. All this can be done without moving the data.
Convergence of data warehouse and data lake	Run open source data science workloads (Spark, TensorFlow, Dataflow and Apache Beam, MapReduce, Pandas and scikit-learn) directly on BigQuery using the Storage API. The Storage API provides a much simpler architecture and less data movement, and doesn't need to have multiple copies of the same data.
Materialized Views	Accelerate query performance and reduce costs within your environment with BigQuery Materialized Views. It is easy to set up, effortless to use, and best of all it's real time, allowing you to quickly get answers to your questions.
Storage and compute separation	With BigQuery’s separated storage and compute, you have the option to choose the storage and processing solutions that make sense for your business and control access and costs for each.
Automatic backup and easy restore	BigQuery automatically replicates data and keeps a seven-day history of changes, allowing you to easily restore and compare data from different times.
Geospatial data types and functions	BigQuery GIS brings SQL support for arbitrary points, lines, polygons, and multi-polygons in WKT and GeoJSON format. You can simplify your geospatial analyses, see your location-based data in new ways, or unlock entirely new lines of business.
Data transfer service	The BigQuery Data Transfer Service automatically transfers data from external data sources, like Google Marketing Platform, Google Ads, YouTube, and partner SaaS applications to BigQuery on a scheduled and fully managed basis. Users can also easily transfer data from Teradata and Amazon S3 to BigQuery.
Big data ecosystem integration	With Dataproc and Dataflow, BigQuery provides integration with the Apache big data ecosystem, allowing existing Hadoop/Spark and Beam workloads to read or write data directly from BigQuery using the Storage API.
Petabyte scale	Get great performance on your data, while knowing you can scale seamlessly to store and analyze petabytes to exabytes of data with ease.
Flexible pricing models	On-demand pricing lets you pay only for the storage and compute that you use. Flat-rate pricing with Reservations enables high-volume users or enterprises to choose price predictability and workload management seamlessly. For more information, see BigQuery pricing or cost controls.
Data governance and security	BigQuery provides strong security and governance controls with fine-grained Identity and Access Management, and your data is always encrypted at rest and in transit.
Geo-expansion	BigQuery gives you the option of geographic data control (in US, Asia, and European locations), without the headaches of setting up and managing clusters and other computing resources in-region.
Foundation for AI	Besides bringing ML to your data with BigQuery ML, integrations with AI Platform Prediction and TensorFlow enable you to train powerful models on structured data in minutes with just SQL.
Foundation for BI	BigQuery forms the data warehousing backbone for modern BI solutions and enables seamless data integration, transformation, analysis, visualization, and reporting with tools from Google and our technology partners.
Flexible data ingestion	Automatically move data from hundreds of popular business SaaS applications into BigQuery for free with Data Transfer Service (DTS) or leverage data integration tools like Cloud Data Fusion, Informatica, Talend, and more. Load and transform data at any scale from hybrid and multi-cloud applications.
Programmatic interaction	BigQuery provides a REST API for easy programmatic access and application integration. Client libraries are available in Java, Python, Node.js, C#, Go, Ruby, and PHP. Business users can use Google Apps Script to access BigQuery from Sheets.
Rich monitoring and logging	BigQuery provides rich monitoring, logging, and alerting through Cloud Audit Logs and it can serve as a repository for logs from any application or service using Cloud Logging.
Public datasets	Google Cloud Public Datasets offer a powerful data repository of more than 100 high-demand public datasets from different industries. Google provides free storage for all public datasets, and customers can query up to 1 TB of data per month at no cost.
Commercial datasets	Commercial data providers host their data offerings directly in BigQuery and Cloud Storage, which means that once you license a dataset from one of our partners, you can access this data immediately and process it in place without having to store or move any data.

Item	Price
Storage	$0.02 per GB, per month $0.01 per GB, per month for long-term storage
Streaming Inserts	$0.01 per 200 MB
Loading, copying, or exporting data; metadata operations	Free

Subscription type	Price
Pay-as-you-go	$5 per TB First terabyte (1 TB) per month is free*
Flat-rate pricing	Starts at $10,000/month for a dedicated reservation of 500 slots. $30 per month per slot for Flex slots. For more information, see flat-rate pricing.