Case Study: a European fashion retailer cuts Databricks costs by 70% with Addepto

European Fashion Retailer cuts Databricks costs by 70% with Addepto

The customer, a European fashion retailer, faced escalating data infrastructure costs and operational fragility due to an unoptimized, undocumented data platform built on a mix of Databricks and an unsupported legacy framework. With costs spiraling out of control and no visibility into data processes, the retailer engaged Addepto for Databricks consulting services to optimize its environment and design a future-ready architecture.

Addepto's solution first focused on immediate cost reduction by right-sizing compute clusters and disabling unnecessary acceleration features, which drove the bulk of the savings. This was followed by a full migration plan to consolidate onto Databricks and the scoping of a governance framework for cost attribution and data lineage. As a result, Addepto helped the retailer cut its forecasted annual Databricks costs by approximately 70%, from €230,000 to around €70,000, creating the budget and operational stability for further platform development.