Both data warehouse and data mart are forms of data management systems that support business. In this article, we will learn the major difference between a data warehouse and data mart.
What is a Data Warehouse?
A Data Warehouse is like a data management system or a large collection of business data used to support business intelligence and analytics. It is mostly used for data analysis and reporting purposes.
What is Data Mart?
A data mart is an uncomplicated form of a subject-oriented database system that is concentrated on business matters, such as sales, finance, or marketing.
Difference between Data Warehouse and Data Mart
| S.N0. | Data Warehouse | Data Mart |
| 1. | It is a centralised system. | It is not a centralised system. |
| 2. | Data warehouse defines a top-down model. | Data mart defines a bottom-up model. |
| 3. | Slightly denormalization is involved in data warehouses. | Highly denormalization is involved in data mart. |
| 4. | It is tough to build a data warehouse. | It is easy to build a data mart. |
| 5. | Fact constellation schema is preferred in data warehouses. | Star schema and snowflake schema are preferred in data mart. |
| 6. | It is more flexible as compared to the data mart. | It is not flexible. |
| 7. | It is data-oriented in behaviour. | Data mart is project-oriented in behaviour. |
| 8. | They mostly have longer life spans. | It has a shorter life span. |
| 9. | Here we get the data in a detailed format. | Here we get the summarised version of data. |
| 10. | The data warehouse is huge in size. | It is smaller as compared to the data warehouse. |
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