You would use Snowflake when you need a cloud-native solution that can handle diverse data types and requires frequent sharing of data across different teams or organizations. A specific scenario for using Snowflake over ClickHouse would be in a data warehousing environment for a company that needs to combine structured and semi-structured data from multiple sources, and where security, ease of integration, and flexible scaling are important.
You would use ClickHouse when you need to handle very high-throughput analytics in real-time, especially for large datasets with low latency requirements. A specific scenario for using ClickHouse over Snowflake would be a company that needs to analyze streaming user activity data in real-time during a major online event, where they need the ability to ingest and query data rapidly without incurring significant cloud costs.