Retail & ecommerce · Databricks
IFood: Feeding Brazil and delivering a brighter future
Public case study · not a Metric Oak engagement
- Business simulations run in a single month
- 10,000
- Cents saved per order with a single process change
- 10
- Employees getting hands-on with data in Tableau
- 1,000
What happened
The story in brief
Brazil's leading food delivery platform handles tens of millions of orders a month. Rebuilding pipelines with declarative pipelines on Databricks reduced cost per order, sped up business simulations and widened hands-on data use across the company.
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Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did IFood report?
IFood reported 10,000 business simulations run in a single month; 10 cents saved per order with a single process change; 1,000 employees getting hands-on with data in Tableau, according to its customer story published by Databricks.
Which platform and technologies did IFood use?
IFood used Databricks, including Declarative pipelines, Apache Spark, Tableau.
How do these results compare with other retail & ecommerce programs?
See our retail & ecommerce benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Databricks: Feeding Brazil and delivering a brighter future (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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