Healthcare & life sciences · Databricks
Syngenta: Protecting crops today to feed billions tomorrow
Public case study · not a Metric Oak engagement
- Data products with more published every week
- 200
- Faster time to value
- 70%
- Decrease in engineering costs
- 50%
What happened
The story in brief
A global crop protection and seeds company needed its teams to use data more widely. Building a data product approach on Databricks, it publishes new data products every week and reduced engineering costs.
How it compares
- 50% decrease in engineering costs, against a median reported cost reduction of 50% across 9 healthcare & life sciences results.
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Related insights
Frequently asked questions
What results did Syngenta report?
Syngenta reported 200 data products with more published every week; 70% faster time to value; 50% decrease in engineering costs, according to its customer story published by Databricks.
Which platform and technologies did Syngenta use?
Syngenta used Databricks on AWS, including Unity Catalog, Delta Lake, Databricks SQL, MLflow, Genie, Databricks Apps.
How do these results compare with other healthcare & life sciences programs?
50% decrease in engineering costs, against a median reported cost reduction of 50% across 9 healthcare & life sciences results.
Source
Customer story published by Databricks: Protecting crops today to feed billions tomorrow (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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