--- description: What is Data Warehouse? A Data Warehouse collects and manages data from varied sources to provide meaningful business insights. It is a collection of data which is separate from the operational system title: Data Warehouse vs Data Mart – Difference Between Them image: https://www.guru99.com/images/1/022218_0616_DataWarehou1.png --- [Skip to content](#main) ## Key Difference between Data Warehouse and Data Mart * Data Warehouse is a large repository of data collected from different sources, whereas Data Mart is only subtype of a data warehouse. * Data Warehouse is focused on all departments in an organization, whereas Data Mart focuses on a specific group. * Data Warehouse designing process is complicated, whereas the Data Mart process is easy to design. * Data Warehouse takes a long time for data handling, whereas Data Mart takes a short time for data handling. * Comparing Data Warehouse vs Data Mart, Data Warehouse size range is 100 GB to 1 TB+, whereas Data Mart size is less than 100 GB. * When we differentiate Data Warehouse and Data Mart, the Data Warehouse implementation process takes 1 month to 1 year, whereas Data Mart takes a few months to complete the implementation process. [![Difference between Data Warehouse and Data Mart](https://www.guru99.com/images/1/022218_0616_DataWarehou1.png)](https://www.guru99.com/images/1/022218%5F0616%5FDataWarehou1.png) Difference between Data Warehouse and Data Mart ## What is Data Warehouse? A [Data Warehouse](https://www.guru99.com/data-warehousing-tutorial.html) collects and manages data from varied sources to provide meaningful business insights. It is a collection of data which is separate from the operational systems and supports the decision making of the company. In Data Warehouse data is stored from a historical perspective. The data in the warehouse is extracted from multiple functional units. It is checked, cleansed and then integrated with Data warehouse system. Data warehouse used a very fast computer system having large storage capacity. This tool can answer any complex queries relating data. ## What is Data Mart? A [data mart](https://www.guru99.com/data-mart-tutorial.html) is a simple form of a Data Warehouse. It is focused on a single subject. Data Mart draws data from only a few sources. These sources may be central Data warehouse, internal operational systems, or external data sources. A Data Mart is an index and extraction system. It is an important subset of a data warehouse. It is subject-oriented, and it is designed to meet the needs of a specific group of users. When compared Data Mart vs Data Warehouse, Data marts are fast and easy to use, as they make use of small amounts of data. ### RELATED ARTICLES * [ ETL vs ELT – Difference Between Them ](https://www.guru99.com/etl-vs-elt.html "ETL vs ELT – Difference Between Them") * [ Data Lake vs Data Warehouse – Difference Between Them ](https://www.guru99.com/data-lake-vs-data-warehouse.html "Data Lake vs Data Warehouse – Difference Between Them") * [ Difference between Data Mining and Data Warehouse ](https://www.guru99.com/data-mining-vs-data-warehouse.html "Difference between Data Mining and Data Warehouse") * [ Difference between Information and Data ](https://www.guru99.com/difference-information-data.html "Difference between Information and Data") ## Differences between Data Warehouse and Data Mart Here is the main difference between Data Mart and Data Warehouse: | Parameter | Data Warehouse | Data Mart | | ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | Definition | A Data Warehouse is a large repository of data collected from different organizations or departments within a corporation. | A data mart is an only subtype of a Data Warehouse. It is designed to meet the need of a certain user group. | | Usage | It helps to take a strategic decision. | It helps to take tactical decisions for the business. | | Objective | The main objective of Data Warehouse is to provide an integrated environment and coherent picture of the business at a point in time. | A data mart mostly used in a business division at the department level. | | Designing | The designing process of Data Warehouse is quite difficult. | The designing process of Data Mart is easy. | | May or may not use in a dimensional model. However, it can feed dimensional models. | It is built focused on a dimensional model using a start schema. | | | Data Handling | Data warehousing includes large area of the corporation which is why it takes a long time to process it. | Data marts are easy to use, design and implement as it can only handle small amounts of data. | | Focus | Data warehousing is broadly focused all the departments. It is possible that it can even represent the entire company. | Data Mart is subject-oriented, and it is used at a department level. | | Data type | The data stored inside the Data Warehouse are always detailed when compared with data mart. | Data Marts are built for particular user groups. Therefore, data short and limited. | | Subject-area | The main objective of Data Warehouse is to provide an integrated environment and coherent picture of the business at a point in time. | Mostly hold only one subject area- for example, Sales figure. | | Data storing | Designed to store enterprise-wide decision data, not just marketing data. | Dimensional modeling and star schema design employed for optimizing the performance of access layer. | | Data type | Time variance and non-volatile design are strictly enforced. | Mostly includes consolidation data structures to meet subject area’s query and reporting needs. | | Data value | Read-Only from the end-users standpoint. | Transaction data regardless of grain fed directly from the Data Warehouse. | | Scope | Data warehousing is more helpful as it can bring information from any department. | Data mart contains data, of a specific department of a company. There are maybe separate data marts for sales, finance, marketing, etc. Has limited usage | | Source | In Data Warehouse Data comes from many sources. | In Data Mart data comes from very few sources. | | Size | The size of the Data Warehouse may range from 100 GB to 1 TB+. | The Size of Data Mart is less than 100 GB. | | Implementation time | The implementation process of Data Warehouse can be extended from months to years. | The implementation process of Data Mart is restricted to few months. | #### Summarize this post with: ChatGPT Perplexity Grok Google AI **Stay Updated on AI** **Get Weekly AI Skills, Trends, Actionable Advice.** ##### Sign up for the newsletter Subscribe for Free You have successfully subscribed. 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