BigQuery
Cloud data warehouse to power your data-driven innovation
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
Unified experience for all analytics users
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.
Duet AI in BigQuery
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.
Flexibility, predictable pricing, and best price performance
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.
Built-in machine learning
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.
Real-time analytics with streaming data pipelines
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.
Unify, manage, and govern all types of data
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.
Data governance and security
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.
Geospatial analysis with BigQuery
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.
Real-time change data capture and replication
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
Data warehouse migration
Migrate data warehouses to BigQuery
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.
