Google's serverless data warehouse. It excels at petabyte-scale analytics without infrastructure management. However, its pricing model is high-risk for teams without strict cost controls, and its proprietary storage (Capacitor) creates heavy vendor lock-in.

The veteran cloud data warehouse. It uses a leader-node/compute-node architecture to handle petabyte-scale SQL. While highly integrated with AWS, it can be sluggish for real-time, user-facing analytics and expensive to scale for high-concurrency workloads.