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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.
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.