| A data warehouse is a huge collection of data gathered from several departments or groups inside a company. | A data mart is a Data Warehouse's single subtype. It is created to fulfill the requirements of a certain user group. |
| It aids in STRATEGIC decision-making. | It aids in the making of tactical business decisions. |
| The process of designing a Data Warehouse is fairly challenging. | The Data Mart design procedure is simple. |
| Data warehousing involves a big portion of the company, which is why it takes so LONG to process. | Because they can only handle tiny amounts of data, data marts are simple to use, create, and install. |
| The primary goal of a Data Warehouse is to create a unified environment and a CONSISTENT view of the business at any given moment in TIME. | A data mart is primarily used at the department level in a business division. |
| When opposed to data mart, the data kept in the Data Warehouse is always detailed. | Data Marts are designed for certain user groups. As a result, the data is brief and limited. |
| Data is collected from a variety of sources in a data warehouse. | Data in Data Mart comes from a limited number of sources. |
| The Data Warehouse might be anywhere from 100 GB to 1 TB+ in size. | Data Mart is less than 100 GB in size. |
| The time it takes to implement a Data Warehouse might range from months to years. | The Data Mart implementation process is only a few months long. |
| From the perspective of the end-users, the data stored is read-only. | The transaction data is provided straight from the Data Warehouse. |
