In the context of column-based databases like ClickHouse, choosing the smallest data type is still important for optimizing performance and minimizing storage costs. Although column compression can reduce redundancy in data types, using larger data types than necessary can lead to increased memory usage and slower query speeds. Therefore, it's crucial to carefully select appropriate data types based on the specific requirements of your data.