Healthcare & life sciences · Databricks
BAYADA builds a unified, AI‑ready platform for compassionate care
Public case study · not a Metric Oak engagement
- Better workload performance and cost efficiency compared to Snowflake
- ~30%
- Enterprise data sources unified into a single Databricks SQL environment
- 65+
- Separate data platforms consolidated into one governed warehouse on DBSQL
- 3
What happened
The story in brief
A US home health care provider ran three separate data platforms over dozens of enterprise sources. Consolidating them into one governed Databricks SQL warehouse improved workload performance and cost efficiency.
How it compares
- ~30% better workload performance and cost efficiency compared to Snowflake, against a median reported cost reduction of 50% across 9 healthcare & life sciences results.
Planning something similar?
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did Bayada report?
Bayada reported ~30% better workload performance and cost efficiency compared to Snowflake; 65+ enterprise data sources unified into a single Databricks SQL environment; 3 separate data platforms consolidated into one governed warehouse on DBSQL, according to its customer story published by Databricks.
Which platform and technologies did Bayada use?
Bayada used Databricks, including Unity Catalog, Lakeflow, Databricks SQL, Large language models.
How do these results compare with other healthcare & life sciences programs?
~30% better workload performance and cost efficiency compared to Snowflake, against a median reported cost reduction of 50% across 9 healthcare & life sciences results.
Source
Customer story published by Databricks: BAYADA builds a unified, AI‑ready platform for compassionate 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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