Healthcare & life sciences · Databricks
Insulet: Empowering everyday people with smarter diabetes care
Public case study · not a Metric Oak engagement
- Reduction in query times to speed time to insight
- 83%
- Faster data processing speeds
- 12x
What happened
The story in brief
A medical device company making wearable insulin pumps struggled with siloed data and slow processing when monitoring its products. Moving to Databricks dramatically reduced query times and sped up time to insight.
How it compares
- 12x faster data processing speeds, against a median speed-up of 10x across 9 healthcare & life sciences results.
Planning something similar?
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 Insulet report?
Insulet reported 83% reduction in query times to speed time to insight; 12x faster data processing speeds, according to its customer story published by Databricks.
Which platform and technologies did Insulet use?
Insulet used Databricks, including Unity Catalog, Delta Lake, Lakeflow, Declarative pipelines, Databricks SQL, Apache Spark.
How do these results compare with other healthcare & life sciences programs?
12x faster data processing speeds, against a median speed-up of 10x across 9 healthcare & life sciences results.
Source
Customer story published by Databricks: Empowering everyday people with smarter diabetes care (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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