Case Study: Lumiata achieves a 98% reduction in lines of code and 7x faster pipeline creation with Ascend.io

Lumiata - Customer Case Study

Lumiata, a healthcare analytics company that turns EMRs, claims, labs and notes into Lumiata Insights, was struggling with brittle, hard-to-maintain pipelines built on Airflow, Scala and Spark—over 100,000 lines of bespoke code, slow six-week iteration cycles, and heavy engineering maintenance. To simplify and speed development, Lumiata began prototyping and then adopted Ascend.io’s Autonomous Dataflow Service (running on AWS).

Using Ascend.io, Lumiata migrated all pipelines in three weeks and reduced the Curated Table codebase to just 2,000 reusable lines (a 98% reduction), making new pipeline creation 7x faster and cutting time-to-insight by 83%. Ascend.io’s declarative model and automated control plane let data scientists self-serve, eliminate manual Spark orchestration, and scale delivery of Lumiata Insights without proportionally expanding the team.

Lumiata

Miguel Alvarado

Chief Technology Officer