Feature	Star Schema	Starflake Schema
Structure	Single fact table connected to multiple denormalized dimension tables.	Hybrid structure with a mix of denormalized and normalized dimension tables.
Complexity	Simple and straightforward, easy to understand and navigate.	More complex due to the normalization of certain dimensions.
Data Redundancy	Higher redundancy due to denormalization; data may be duplicated in dimension tables.	Reduced redundancy in normalized parts of the schema, leading to potentially less storage use.
Query Performance	Generally faster for query performance because of fewer joins (denormalized data).	Slightly slower query performance due to additional joins needed for normalized tables.
Maintenance	Easier to maintain, as there are fewer tables and less complex relationships.	More challenging to maintain, as normalized tables introduce more relationships and dependencies.
Flexibility	Less flexible in terms of handling updates and changes in dimension attributes (due to denormalization).	More flexible for handling changes and updates to dimension attributes, as normalization allows for easier updates without affecting the entire table.
Use Case	Best for environments where simplicity and query performance are prioritized, such as dashboards and reporting.	Best for environments where data integrity and storage efficiency are critical, and some dimensions require normalization.