Data marts vs. Data products: What's the difference?
Blog post from dbt
As organizations advance in their data capabilities, distinguishing between data marts and data products becomes crucial for designing effective data architectures and aligning technical operations with business goals. Data marts are technical constructs within the data transformation pipeline, focusing on specific business entities like customers or orders, which provide granular and flexible data structures optimized for analysis. They emphasize denormalization to balance storage and computational efficiency. In contrast, data products represent a management framework that organizes related data assets across multiple layers into coherent units with clear ownership and quality standards. This approach fosters shared accountability among business stakeholders and enhances data reliability through comprehensive monitoring and testing. While marts serve as the building blocks in a data platform, data products provide the business context and governance necessary for maintaining data quality and alignment with strategic objectives. The relationship between the two is complementary, with each playing a distinct role in delivering scalable and trustworthy analytics.
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