Case Study: Morningstar reduces ETL costs and cuts build time with Etleap

Morningstar cuts ETL costs by 50% with Etleap

Morningstar, a provider of financial data and research, faced significant challenges in managing its numerous, complex, and disparate data sources, which were exacerbated by company growth and acquisitions. To empower its clients and maintain a competitive edge, Morningstar needed to unify these datasets into a single AWS data lake but found that building the required ETL pipelines in-house would be prohibitively time-consuming and expensive. They sought an AWS-native ETL solution and partnered with vendor Etleap to meet this need.

Etleap implemented its data integration solution, which included features like Data Wrangler for intuitive data transformation and modeling. This provided Morningstar with a scalable, maintenance-free platform to build and manage its data pipelines. The results were substantial: Etleap cut Morningstar's time-to-build by over two years and reduced ETL costs by 50%. This accelerated timeline allowed Morningstar to rapidly integrate new datasets, such as ESG data from Sustainalytics, unlocking new innovative products and empowering its research team.

Morningstar