Use Snowflake when you need flexibility in scaling resources up and down dynamically based on workload, especially in scenarios with fluctuating user demand. For example, if you're running an analytics platform that experiences peak usage during business hours and low usage at night, Snowflake's ability to automatically scale compute resources can optimize costs while ensuring performance.
Redshift may be preferred in scenarios where businesses are already deeply embedded in the AWS ecosystem and require a more predictable cost model for high-volume data processing. For example, a company running large-scale ETL (Extract, Transform, Load) jobs that require steady performance and predictable costs over time might benefit from using Redshift.