You would use Snowflake when you need a fully managed cloud data warehouse that automatically scales with your workload. If you are handling large volumes of structured and semi-structured data and need robust analytics and performance, Snowflake is ideal. For example, if your team needs to run complex analytical queries on massive datasets from multiple departments while ensuring high performance without managing infrastructure, Snowflake would be the better choice.
Dremio is particularly useful when you want to enable self-service data access and analytics for users without incurring high storage costs. For example, if an organization has vast amounts of data stored in an on-premise data lake and wants to let their analysts run ad-hoc queries without transferring the data to another platform like Snowflake, Dremio allows them to do this efficiently.