Amazon Redshift vs BigQuery: which is better for analytics at scale?

Google BigQuery generally performs better for analytics at scale because of its fully serverless architecture, fast mass-query capabilities, and automatic performance optimisations. Redshift is a robust choice in AWS-based systems, often at a lower price for steady workloads, but scaling and peak performance are often easier on BigQuery - especially with extremely large datasets or unpredictable query bursts.