BigQuery
Query cloud data with SQL and bring predictive models into analytical workflows
Run SQL analytics across a cloud warehouse and connected data lakes

Amazon Redshift is an AWS data warehouse for SQL analytics. Teams can query warehouse tables, data lakes, and connected sources, including open formats such as Apache Iceberg. Integration with the lakehouse in Amazon SageMaker brings warehouse and lake data into a shared analytical environment.
Provisioned infrastructure and Redshift Serverless provide different ways to run workloads, with the serverless option managing capacity. Business intelligence, forecasting, and machine-learning tasks can use the SQL engine and related integrations. A team can combine its own information with external datasets, then connect the analysis to dashboards, applications, or other reporting tools used in its data workflow.
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