Saturday, March 8, 2014

Snowflake vs Star Schema - Data Warehouse

When choosing a database schema for a data warehouse, snowflake and star schemas tend to be popular choices. This comparison discusses suitability of star vs. snowflake schemas in different scenarios and their characteristics.

The star schema is the simplest data warehouse schema. It is called a star schema because the diagram resembles a star, with points radiating from a centre. The centre of the star consists of one or more fact tables and the points of the star are the dimension tables.
The snowflake schema is a variation of the star schema used in a data warehouse. The snowflake schema (sometimes called snowflake join schema) is a more complex schema than the star schema because the tables which describe the dimensions are normalized.


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  2. In Star schema, the fact tables and the dimension tables are contained. In this schema fewer foreign-key join is used. This schema forms a star with fact table and dimension tables. And in snowflake schema, The fact tables, dimension tables as well as sub dimension tables are contained. This schema forms a snowflake with fact tables, dimension tables as well as sub-dimension tables.

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