Retail & ecommerce · Databricks
Ahold Delhaize: Lakeflow Jobs helps data teams scale and reduce costs
Public case study · not a Metric Oak engagement
- Cost reduction
- 50%
- Faster
- 4.5x
- Data ingestion
- 1K
What happened
The story in brief
One of the world's largest food retail groups uses data and AI across personalization, loyalty and food-waste reduction. Using Databricks job orchestration to run its workloads, it reduced costs and ran pipelines several times faster.
How it compares
- 50% cost reduction, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
- 4.5x faster, against a median speed-up of 10x across 8 retail & ecommerce results.
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Related insights
Frequently asked questions
What results did Ahold Delhaize report?
Ahold Delhaize reported 50% cost reduction; 4.5x faster; 1K data ingestion, according to its customer story published by Databricks.
Which platform and technologies did Ahold Delhaize use?
Ahold Delhaize used Databricks on Azure, including Unity Catalog, Delta Lake, Lakeflow, Declarative pipelines, Apache Spark, Kafka.
How do these results compare with other retail & ecommerce programs?
50% cost reduction, against a median reported cost reduction of 50% across 16 retail & ecommerce results. 4.5x faster, against a median speed-up of 10x across 8 retail & ecommerce results.
Source
Customer story published by Databricks: Lakeflow Jobs helps data teams scale and reduce costs (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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