| CARVIEW |
Read the latest innovations for data scientists in BigQuery to help you become an agentic architect.
BigQuery
From data warehouse to autonomous data and AI platform
BigQuery is the autonomous data to AI platform, automating the entire data life cycle, from ingestion to AI-driven insights, so you can go from data to AI to action faster.
Gemini in BigQuery features are now included in BigQuery pricing models.
Store 10 GiB of data and run up to 1 TiB of queries for free per month. New customers also get $300 in free credits to try BigQuery and other Google Cloud products.
Features
Connect your data to AI
Create and run ML models using familiar SQL right within BigQuery. Leverage built-in pre-trained models, Vertex AI-trained models, or your custom models, and register them in Vertex AI model registry. Use latest AI models to perform multimodal data analysis such as document processing, image annotation and audio transcription, generative AI tasks such as text summarization and sentiment analysis, and embeddings generation for vector search use cases such as anomaly detection and product recommendations.
Built-in AI agents and workflow automation
Get AI-powered experiences and automation for your workflows with Gemini in BigQuery. Find, join, and query datasets and visualize results using natural language prompts in data canvas. Automate data preparation, error detection, and transformations. Automatically uncover queries from table metadata and get context-aware coding assistance. Save costs and optimize data infrastructure with intelligent recommendations for partitioning, clustering, and materialized views.
Your choice of open source and open formats
Run serverless Spark alongside SQL workloads in BigQuery, with unified security, runtime metadata, and governance. BigQuery's fully managed capabilities combined with managed Apache Iceberg tables powered by BigLake enable streaming, advanced analytics, and AI use cases, making it easy to work with open formats.
Built-in data to AI governance
BigQuery provides contextual governance that is powered by Dataplex Universal Catalog. All the key capabilities such as automatic metadata harvesting, data profiling, data quality and lineage are integrated and are available in the BigQuery experience. Customers can use gen AI-powered capabilities such as semantic search, metadata augmentation, and data insights to discover, document and get faster insights for all your BigQuery assets.
Built for enterprise scale and efficiency
BigQuery’s unique architecture decouples storage and compute for petabyte-scale analysis while optimizing costs with compressed storage, compute autoscaling, flexible pricing, and more. Under the hood, BigQuery employs a vast set of Google infrastructure technologies like Borg, Colossus, Jupiter, and Dremel. For mission-critical workloads, BigQuery also provides managed disaster recovery in the case of a total region outage relying on cross-region dataset replication capabilities.
Real-time analytics with streaming data pipelines
Use Managed Service for Apache Kafka to build and run real-time streaming applications. From SQL-based easy streaming with BigQuery continuous queries, popular open source Kafka platforms, and advanced multimodal data streaming and ML with Dataflow, including support for Iceberg, you can make real-time data and AI a reality.
Enterprise capabilities
BigQuery continues to build new enterprise capabilities. Cross-region disaster recovery provides managed failover in the unlikely event of a regional disaster as well as data backup and recovery features to help you recover from user errors. BigQuery operational health monitoring provides organization-wide views of your BigQuery operational environment. BigQuery Migration Services provides a comprehensive collection of tools for migrating to BigQuery from legacy or cloud data warehouses.
How It Works
See how BigQuery can help you unify your data and connect it with groundbreaking AI. Learn how to access unstructured data like images, pdfs, texts, and others to populate an ecommerce websites' metadata. Something that would take hours is made easy with BigQuery.
See how BigQuery can help you unify your data and connect it with groundbreaking AI. Learn how to access unstructured data like images, pdfs, texts, and others to populate an ecommerce websites' metadata. Something that would take hours is made easy with BigQuery.
Common Uses
Generative AI
Unlock generative AI use cases with BigQuery and Gemini models
Unlock generative AI use cases with BigQuery and Gemini models
Build data pipelines that blend structured data, unstructured data, and generative AI models together to create a new class of analytical applications. BigQuery integrates with the latest Gemini models through Vertex AI integrations, unlocking a wide range of tasks like text summarization and sentiment analysis using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.
Tutorials, quickstarts, & labs
Unlock generative AI use cases with BigQuery and Gemini models
Unlock generative AI use cases with BigQuery and Gemini models
Build data pipelines that blend structured data, unstructured data, and generative AI models together to create a new class of analytical applications. BigQuery integrates with the latest Gemini models through Vertex AI integrations, unlocking a wide range of tasks like text summarization and sentiment analysis using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.
Data warehouse migration
Migrate data warehouses to BigQuery
Migrate data warehouses to BigQuery
Solve for today’s analytics demands and tomorrow's AI use cases by migrating your data warehouse to BigQuery. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, Snowflake, or Databricks to BigQuery using the free and fully managed BigQuery Migration Service.
Tutorials, quickstarts, & labs
Migrate data warehouses to BigQuery
Migrate data warehouses to BigQuery
Solve for today’s analytics demands and tomorrow's AI use cases by migrating your data warehouse to BigQuery. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, Snowflake, or Databricks to BigQuery using the free and fully managed BigQuery Migration Service.
Data integration and ELT
Bring any data into BigQuery
Bring any data into BigQuery
ELT is the recommended pattern for bringing data into BigQuery. There are many tools that offer flexibility for data integration. For batch load, use BigQuery Data Transfer Service (DTS) to automate the bulk load of data from supported data sources into BigQuery. For streaming load, Pub/Sub BigQuery subscriptions writes Pub/Sub messages to an existing BigQuery table as they are received. For Change data capture (CDC), Datastream enables non-intrusive change data capture (CDC) from databases into BigQuery. Finally, you can federate to a number of external data sources that don't require data movement.
Tutorials, quickstarts, & labs
Bring any data into BigQuery
Bring any data into BigQuery
ELT is the recommended pattern for bringing data into BigQuery. There are many tools that offer flexibility for data integration. For batch load, use BigQuery Data Transfer Service (DTS) to automate the bulk load of data from supported data sources into BigQuery. For streaming load, Pub/Sub BigQuery subscriptions writes Pub/Sub messages to an existing BigQuery table as they are received. For Change data capture (CDC), Datastream enables non-intrusive change data capture (CDC) from databases into BigQuery. Finally, you can federate to a number of external data sources that don't require data movement.
Data science
Simplify data to AI workflows
Simplify data to AI workflows
Harness the flexibility to use Colab Enterprise notebooks, open source Python libraries through BigQuery DataFrames, Jupyter notebooks, and programmatic analysis tools with BigQuery. Streamline complete machine learning flow for each model, such as feature preprocessing, model creation, hyperparameter tuning, inference, evaluation, and model export.
Tutorials, quickstarts, & labs
Simplify data to AI workflows
Simplify data to AI workflows
Harness the flexibility to use Colab Enterprise notebooks, open source Python libraries through BigQuery DataFrames, Jupyter notebooks, and programmatic analysis tools with BigQuery. Streamline complete machine learning flow for each model, such as feature preprocessing, model creation, hyperparameter tuning, inference, evaluation, and model export.
Real-time analytics
Event-driven analysis
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.
Tutorials, quickstarts, & labs
Event-driven analysis
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.
Data clean rooms
BigQuery data clean rooms for privacy-centric data sharing
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.
Tutorials, quickstarts, & labs
BigQuery data clean rooms for privacy-centric data sharing
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.
Geospatial analytics
Unlock planetary-scale insights with rich, easy-to-use geospatial datasets
Unlock planetary-scale insights with rich, easy-to-use geospatial datasets
Access a portfolio of rich geospatial data, powerful cloud computing, and built-in AI tools that make it easier for you to unlock insights that lead to more informed and faster business and sustainability decisions, without needing remote sensing or GIS expertise. Seamlessly integrate analysis-ready imagery and datasets from Earth Engine, and Places, Routes, Street View, and satellite data from Google Maps Platform into your existing BigQuery workflows, using data clean rooms.
Tutorials, quickstarts, & labs
Unlock planetary-scale insights with rich, easy-to-use geospatial datasets
Unlock planetary-scale insights with rich, easy-to-use geospatial datasets
Access a portfolio of rich geospatial data, powerful cloud computing, and built-in AI tools that make it easier for you to unlock insights that lead to more informed and faster business and sustainability decisions, without needing remote sensing or GIS expertise. Seamlessly integrate analysis-ready imagery and datasets from Earth Engine, and Places, Routes, Street View, and satellite data from Google Maps Platform into your existing BigQuery workflows, using data clean rooms.
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. | |
|---|---|---|
| Services and usage | Subscription type | Price (USD) |
Free tier | The BigQuery free tier gives customers 10 GiB storage, up to 1 TiB queries in on-demand compute 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 $6.25 per TiB scanned. First 1 TiB per month is free. |
Editions: Standard, Enterprise, and Enterprise Plus Includes Gemini in BigQuery AI-assistance features. | Starting at $0.04 per slot hour | |
Storage | Logical storage Based on the uncompressed bytes used in tables or table partitions modified in the last 90 days. | Starting at $0.01 Per GiB. The first 10 GiB is free each month. |
Physical storage Based on the compressed bytes used in tables or table partitions modified for 90 consecutive days. | Starting at $0.02 Per GiB. The first 10 GiB 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 MiB | |
BigQuery Storage Write API Data loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing. | $0.025 per 1 GiB. The first 2 TiB 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 TiB 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 GiB storage, up to 1 TiB queries in on-demand compute 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
$6.25
per TiB scanned. First 1 TiB per month is free.
Editions: Standard, Enterprise, and Enterprise Plus
Includes Gemini in BigQuery AI-assistance features.
Starting at
$0.04
per slot hour
Storage
Logical storage
Based on the uncompressed bytes used in tables or table partitions modified in the last 90 days.
Starting at
$0.01
Per GiB. The first 10 GiB is free each month.
Physical storage
Based on the compressed bytes used in tables or table partitions modified for 90 consecutive days.
Starting at
$0.02
Per GiB. The first 10 GiB 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 MiB
BigQuery Storage Write API
Data loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing.
$0.025
per 1 GiB. The first 2 TiB 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 TiB read
Learn more about BigQuery pricing. View all pricing details
Start your proof of concept
Business Case
Tens of thousands of customers choose BigQuery to build their data to AI platforms
Mattel saves time and money by connecting its data to AI in BigQuery.
TJ Allard, Lead Data Scientist, Mattel
"BigQuery and Vertex AI bring all our data and AI together into a single platform. This has transformed how we take action on customer feedback from a lengthy manual process, to a simple natural language query in seconds, allowing us to get to customer insights in minutes instead of months.”
Read more customer stories
Deutsche Telekom designs the telco of tomorrow with BigQuery
Read the blog
10 months to innovation: Definity's leap to data agility with BigQuery and Vertex AI
Read the blog
Yassir migrated from Databricks to BigQuery and improved the performance and efficiency of its machine learning processes
Read the blog
See the BigQuery difference
AI-powered innovation with conversational, intelligent search, and all-new agentic experiences, enriched with semantic layer for accuracy.
Unified data to AI platform for seamless analytics, AI co-processing, and real-time insights on multimodal data, with unified governance, runtime metadata, and security.
Flexible and future-proof with low cost AI and seamless interoperability with third party and open source.
Partners & Integration
Work with a partner with BigQuery expertise
ETL and data integration
Reverse ETL and MDM
BI and data visualization
Data governance and security
Connectors and developer tools
Machine learning and advanced analytics
Data quality and observability
Consulting partners
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
What makes BigQuery different from other enterprise data warehouse alternatives?
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. With native Vertex AI integration, you can easily connect your data to Google's industry leading AI without leaving BigQuery.
What is an enterprise data warehouse?
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.
How secure is BigQuery?
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.
How can I get started with BigQuery?
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.
What is the BigQuery sandbox?
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 update to the free trial where new customers get a $300 credit to try BigQuery.
What are the most common ways companies use 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.
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