Healthcare & life sciences · Databricks
Regeneron: Discovering new treatments with AI
Public case study · not a Metric Oak engagement
- Improvement in query runtime on entire data sets
- 600x
- Faster data pipeline enabling team to support more studies
- 10x
What happened
The story in brief
A biotechnology company analyses petabytes of genomic data to discover new medicines, but its previous tools struggled with performance and scale. On Databricks, query runtimes over full datasets improved by orders of magnitude, letting the team support more studies.
How it compares
- 600x improvement in query runtime on entire data sets, against a median speed-up of 10x across 9 healthcare & life sciences results.
- 10x faster data pipeline enabling team to support more studies, 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.
Related case studies
Healthcare & life sciences · Databricks
Austin Health30K+
Patients using COVID Care remotely
Healthcare & life sciences · Databricks
Bayada~30%
Better workload performance and cost efficiency compared to Snowflake
Healthcare & life sciences · Databricks
CodaMetrix30%
Reduction in AWS compute costs
Related insights
Frequently asked questions
What results did Regeneron report?
Regeneron reported 600x improvement in query runtime on entire data sets; 10x faster data pipeline enabling team to support more studies, according to its customer story published by Databricks.
Which platform and technologies did Regeneron use?
Regeneron used Databricks on AWS, including Apache Spark.
How do these results compare with other healthcare & life sciences programs?
600x improvement in query runtime on entire data sets, against a median speed-up of 10x across 9 healthcare & life sciences results. 10x faster data pipeline enabling team to support more studies, against a median speed-up of 10x across 9 healthcare & life sciences results.
Source
Customer story published by Databricks: Discovering new treatments with AI (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.
Have 30 minutes? Get a senior architect’s view of your data platform.
No sales deck. You talk to the engineer who would lead the work.
Book an architecture review