Data Warehouse vs. Data Mart: What’s the Difference?

Business Intelligence and CRM applications are able to extract the information they need from the company’s production files. However, the data is often in different formats and, above all, they are not easily exploitable because they are codified or incomplete. So we create data warehouses.

Difference between Data warehouse and Data mart

We’ll draw a comparison between data warehouse and data mart on the basis of what they are and to what extent they’re beneficial in managing/storing data.

What is a Data Warehouse?

Data Warehouse is an intermediary storage location for the various data in order to build the decision-making information system. It is a warehouse in which an extremely large volume of consolidated data is centralized from the various sources and information of an enterprise.
Simply put, it is a repository of information collected from multiple sources, stored in a unified schema, on a single site allowing the integration of various application systems. Once this data is collected, they are stored for a long time, therefore have a long life and provide access to historical information.
Data warehouse provides the user with a single integrated data interface that allows the user to easily write decision support queries. Data warehouse helps turn data into information. The design of a Data warehouse includes a top to down approach.
It gathers information on topics covering the entire organization, such as customers, sales, assets and items. Therefore, its range covers the entire company. In general, the constellation schema of facts is used, which covers a wide variety of topics. A Data warehouse is not a static structure and evolves continuously.
Check below how one of the tech giants, Microsoft provides data warehouse solutions:
Microsoft Mechanics ✔@MSFTMechanics
A foundation for enterprise analytics. From SQL queries to machine learning and AI. Take a close look at Azure's Modern Data Warehouse solution pattern. https://youtu.be/7MDCWgxPnVY 
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Benefits of Data Warehouse
  • Timely access to data.
  • Removes the loading of information, processing from transactional databases.
  • Data warehouse data is non-volatile containing historical data as well as current.
  • Data Warehouse delivers enhanced business intelligence.
  • Enhances data quality and consistency.
  • Increases productivity of corporate decision-makers.

What is Data Mart?


Data mart can be called as a subset of a data warehouse that corresponds to a certain set of users. Data warehouse involves multiple logical data marts that must be persistent in their data artwork to ensure the robustness of a data warehouse. A data mart is a set of tables that focuses on a single task and are designed with a bottom-up approach.

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