Case Study: Morningstar achieves faster data lake unification and lower ETL costs with Etleap

Morningstar Empowers Investor Success with a Unified Data Lake

Morningstar, a leading financial insights company, needed to unify scattered datasets across the organization so it could better support investors and scale its products. As its data needs grew through acquisitions like Sustainalytics and platforms such as PitchBook, Morningstar found that building and managing its own complex AWS-based ETL pipelines would be slow, costly, and difficult to scale.

Etleap provided Morningstar with an AWS-native ETL and data lake solution, using Data Wrangler and related modeling capabilities to ingest, transform, and manage data more efficiently. With Etleap, Morningstar cut time-to-build by more than two years and reduced ETL costs by 50%, while quickly integrating ESG data and other key datasets to accelerate new product development and research workflows.

Morningstar

Alex Golbin

Chief Data Officer