What is a data mart, and what is the difference between a data warehouse and data mart?
A data mart is a database that serves a single business function, such as marketing or finance. On the other hand, a data warehouse can serve more than one function.This is what differentiates a data mart vs. a data warehouse. Data warehouses are databases that hold data marts and serve more than one business function in one place. Even with data warehouses in place, data marts serve a vital purpose. Siphoning data into a specific data mart allows users to query that data faster—it is much easier to query a limited set of data than the large datasets found in a data warehouse, and the response time is notably shorter.
Organizations will often deploy a data mart as a subset of their data warehouse, withdrawing applicable data into the data mart from the data warehouse. However, it is possible to create an independent data mart without the use of a data warehouse, as well as a hybrid data mart, where data is input from both the data warehouse and additional operational source systems. If an organization already has a data warehouse in place for storing information, deploying a data mart isn’t nearly as resource-intensive. Dataversity estimates the cost of a data mart at $10,000 (compared to upwards of $100,000 for a data warehouse) and the setup time between three and six months.