BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data. Use built-in ML/AI and BI for insights at scale.
New customers get $300 in free credits to spend on BigQuery.
All customers get 10 GB storage and up to 1 TB queries free per month.
Features
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
An AI collaborator integrated into BigQuery, Duet AI in BigQuery provides contextual code assistance for writing SQL and Python. It auto-suggests functions, code blocks, and fixes. With chat assistance, you can use natural language to get real-time guidance on performing specific tasks, reducing your need to search for documentation. Learn more about Duet AI in Google Cloud.
BigQuery editions allow you to pick the right feature set for individual workload requirements with the ability to mix and match for the right price-performance. Compute capacity autoscaling adds fine-grained compute resources in real time to match the needs of your workload demands, and ensure you only pay for the compute capacity you use. With compressed storage pricing, you can reduce your storage costs while increasing your data footprint at the same time.
BigQuery ML enables data scientists and data analysts to build and operationalize ML models on planet-scale structured, semi-structured, and now unstructured data directly inside BigQuery, using simple SQL—in a fraction of the time. Export BigQuery ML models for online prediction into Vertex AI or your own serving layer. Learn more about the models we currently support.
BigQuery Omni is a fully managed, multicloud analytics solution that allows for cost-effective and secure data analysis across clouds and shares results within a single pane of glass. Within BigQuery Analytics Hub, securely exchange data assets internally and across organizations and enhance analysis with commercial, public, and Google datasets. Create and manage data clean rooms for privacy-centric measurement, data sharing, and collaboration across organizations without moving or copying data.
BigQuery has built-in capabilities that ingest streaming data and make it immediately available to query, along with native integrations to streaming products, like Dataflow. Analyze large datasets interactively with BigQuery BI Engine, an in-memory analysis service that offers sub-second query response time and high concurrency. Accelerate query performance and reduce costs within your environment with BigQuery materialized views.
Query all data types with BigQuery: structured, semi-structured, and unstructured. Use BigLake to explore and unify different data types and build advanced models. Centrally discover, manage, monitor, and govern data across data lakes, data warehouses, and data marts with consistent controls with Dataplex, an intelligent data fabric that enables organizations to provide access to trusted data.
With built-in business intelligence, create and share insights in a few clicks with Looker Studio or build data-rich experiences that go beyond BI with Looker. Analyze billions of rows of live BigQuery data in Google Sheets with familiar tools, like pivot tables, charts, and formulas, to easily derive insights from big data with Connected Sheets.
BigQuery's integration with security and privacy services from Google Cloud provides strong security and fine-grained governance controls, down to the column level and row level. Rest assured knowing your data is encrypted at rest and in transit by default.
BigQuery geospatial 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.
Synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Datastream integrates with purpose-built and extensible Dataflow templates to pull change streams written to Cloud Storage, and create up-to-date replicated tables in BigQuery for real-time analytics.
How It Works
BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. To test how it works for yourself, query data—without a credit card—using the BigQuery sandbox.
Common Uses
Migrate data warehouses to BigQuery
Solve for today’s analytics demands and seamlessly scale your business by moving to Google Cloud’s enterprise data warehouse. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the free and fully managed BigQuery Migration Service.
Migrate data warehouses to BigQuery
Solve for today’s analytics demands and seamlessly scale your business by moving to Google Cloud’s enterprise data warehouse. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the free and fully managed BigQuery Migration Service.
Bring any data into BigQuery
Make analytics easier by bringing together data from multiple sources into BigQuery. You can upload data files from local sources, Google Drive, or Cloud Storage buckets, use BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, replicate data from relational databases with Datastream for BigQuery, or leverage Google's industry-leading data integration partnerships.
Bring any data into BigQuery
Make analytics easier by bringing together data from multiple sources into BigQuery. You can upload data files from local sources, Google Drive, or Cloud Storage buckets, use BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, replicate data from relational databases with Datastream for BigQuery, or leverage Google's industry-leading data integration partnerships.
Event-driven analysis
Gain a competitive advantage by responding to business events in real time with event-driven analysis. Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows you to stay agile and make business decisions based on the freshest data. Or use Dataflow to enable fast, simplified streaming data pipelines for a comprehensive solution.
Event-driven analysis
Gain a competitive advantage by responding to business events in real time with event-driven analysis. Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows you to stay agile and make business decisions based on the freshest data. Or use Dataflow to enable fast, simplified streaming data pipelines for a comprehensive solution.
Predict business outcomes with leading AI/ML
Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets. Predictive analytics can guide business decision-making across the organization.
Predict business outcomes with leading AI/ML
Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets. Predictive analytics can guide business decision-making across the organization.
Analyze log data
Analyze and gain deeper insights into your logging data with BigQuery. You can store, explore, and run queries on generated data from servers, sensors, and other devices simply using GoogleSQL. Additionally, you can analyze log data alongside the rest of your business data for broader analysis all natively within BigQuery.
Analyze log data
Analyze and gain deeper insights into your logging data with BigQuery. You can store, explore, and run queries on generated data from servers, sensors, and other devices simply using GoogleSQL. Additionally, you can analyze log data alongside the rest of your business data for broader analysis all natively within BigQuery.
Increase marketing ROI and performance with data and AI
Bring the power of Google AI to your marketing data by unifying marketing and business data sources in BigQuery. Get a holistic view of the business, increase marketing ROI and performance using more first-party data, and deliver personalized and targeting marketing at scale with ML/AI built-in. Share insights and performance with Looker Studio or Connected Sheets.
Increase marketing ROI and performance with data and AI
Bring the power of Google AI to your marketing data by unifying marketing and business data sources in BigQuery. Get a holistic view of the business, increase marketing ROI and performance using more first-party data, and deliver personalized and targeting marketing at scale with ML/AI built-in. Share insights and performance with Looker Studio or Connected Sheets.
BigQuery data clean rooms for privacy-centric data sharing
Create a low-trust environment for you and your partners to collaborate without copying or moving the underlying data right within BigQuery. This allows you to perform privacy-enhancing transformations in BigQuery SQL interfaces and monitor usage to detect privacy threats on shared data. Benefit from BigQuery scale without needing to manage any infrastructure and built-in BI and AI/ML.
BigQuery data clean rooms for privacy-centric data sharing
Create a low-trust environment for you and your partners to collaborate without copying or moving the underlying data right within BigQuery. This allows you to perform privacy-enhancing transformations in BigQuery SQL interfaces and monitor usage to detect privacy threats on shared data. Benefit from BigQuery scale without needing to manage any infrastructure and built-in BI and AI/ML.
Pricing
How BigQuery pricing works | BigQuery pricing is based on compute (analysis), storage, additional services, and data ingestion and extraction. Loading and exporting data are free. | |
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Services and usage | Subscription type | Price (USD) |
Free tier | The BigQuery free tier gives customers 10 GB storage, up to 1 TB queries free per month, and other resources. | Free |
Compute (analysis) | On-demand Generally gives you access to up to 2,000 concurrent slots, shared among all queries in a single project. | Starting at $5.00 First 1 TB per month is free |
Standard edition Low-cost option for standard SQL analysis | $0.04 per slot hour | |
Enterprise edition Supports advanced enterprise analytics | $0.06 per slot hour | |
Enterprise Plus edition Supports mission-critical enterprise analytics | $0.10 per slot hour | |
Storage | Active local storage Based on the uncompressed bytes used in tables or table partitions modified in the last 90 days. | Starting at $0.02 Per GB. The first 10 GB is free each month. |
Long-term logical storage Based on the uncompressed bytes used in tables or table partitions modified for 90 consecutive days. | Starting at $0.01 Per GB. The first 10 GB is free each month. | |
Active physical storage Based on the compressed bytes used in tables or table partitions modified for 90 consecutive days. | Starting at $0.04 Per GB. The first 10 GB is free each month. | |
Long-term physical storage Based on compressed bytes in tables or partitions that have not been modified for 90 consecutive days. | Starting at $0.02 Per GB. The first 10 GB is free each month. | |
Data ingestion | Batch loading Import table from Cloud Storage | Free When using the shared slot pool |
Streaming inserts You are charged for rows that are successfully inserted. Individual rows are calculated using a 1 KB minimum. | $0.01 per 200 MB | |
BigQuery Storage Write API Data loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing. | $0.025 per 1 GB. The first 2 TB per month are free. | |
Data extraction | Batch export Export table data to Cloud Storage. | Free When using the shared slot pool |
Streaming reads Use the storage Read API to perform streaming reads of table data. | Starting at $1.10 per TB read |
Learn more about BigQuery pricing. View all pricing details
How BigQuery pricing works
BigQuery pricing is based on compute (analysis), storage, additional services, and data ingestion and extraction. Loading and exporting data are free.
Free tier
The BigQuery free tier gives customers 10 GB storage, up to 1 TB queries free per month, and other resources.
Free
Compute (analysis)
On-demand
Generally gives you access to up to 2,000 concurrent slots, shared among all queries in a single project.
Starting at
$5.00
First 1 TB per month is free
Standard edition
Low-cost option for standard SQL analysis
$0.04
per slot hour
Enterprise edition
Supports advanced enterprise analytics
$0.06
per slot hour
Enterprise Plus edition
Supports mission-critical enterprise analytics
$0.10
per slot hour
Storage
Active local storage
Based on the uncompressed bytes used in tables or table partitions modified in the last 90 days.
Starting at
$0.02
Per GB. The first 10 GB is free each month.
Long-term logical storage
Based on the uncompressed bytes used in tables or table partitions modified for 90 consecutive days.
Starting at
$0.01
Per GB. The first 10 GB is free each month.
Active physical storage
Based on the compressed bytes used in tables or table partitions modified for 90 consecutive days.
Starting at
$0.04
Per GB. The first 10 GB is free each month.
Long-term physical storage
Based on compressed bytes in tables or partitions that have not been modified for 90 consecutive days.
Starting at
$0.02
Per GB. The first 10 GB is free each month.
Data ingestion
Batch loading
Import table from Cloud Storage
Free
When using the shared slot pool
Streaming inserts
You are charged for rows that are successfully inserted. Individual rows are calculated using a 1 KB minimum.
$0.01
per 200 MB
BigQuery Storage Write API
Data loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing.
$0.025
per 1 GB. The first 2 TB per month are free.
Data extraction
Batch export
Export table data to Cloud Storage.
Free
When using the shared slot pool
Streaming reads
Use the storage Read API to perform streaming reads of table data.
Starting at
$1.10
per TB read
Learn more about BigQuery pricing. View all pricing details
Partners & Integration
From data ingestion to visualization, many partners have integrated their data solutions with BigQuery. Listed above are partner integrations through Google Cloud Ready - BigQuery.
Visit our partner directory to learn about these BigQuery partners.
FAQ
BigQuery is Google Cloud’s fully managed and completely serverless enterprise data warehouse. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform.
An enterprise data warehouse is a system used for the analysis and reporting of structured and semi-structured data from multiple sources. Many organizations are moving from traditional data warehouses that are on-premises to cloud data warehouses, which provide more cost savings, scalability, and flexibility.
BigQuery offers robust security, governance, and reliability controls that offer high availability and a 99.99% uptime SLA. Your data is protected with encryption by default and customer-managed encryption keys.
There are a few ways to get started with BigQuery. New customers get $300 in free credits to spend on BigQuery. All customers get 10 GB storage and up to 1 TB queries free per month, not charged against their credits. You can get these credits by signing up for the BigQuery free trial. Not ready yet? You can use the BigQuery sandbox without a credit card to see how it works.
The BigQuery sandbox lets you try out BigQuery without a credit card. You stay within BigQuery’s free tier automatically, and you can use the sandbox to run queries and analysis on public datasets to see how it works. You can also bring your own data into the BigQuery sandbox for analysis. There is an option to upgrade to the free trial where new customers get a $300 credit to try BigQuery.
Companies of all sizes use BigQuery to consolidate siloed data into one location so you can perform data analysis and get insights from all of your business data. This allows companies to make decisions in real time, streamline business reporting, and incorporate machine learning into data analysis to predict future business opportunities.