Case Study: Veradigm achieves 75% cost savings and a scalable, efficient healthcare data lake with Snowflake

Veradigm Creates a Highly Efficient, Cost-Effective Data Lake Leveraging Snowflake

Veradigm, a healthcare data and technology company that provides EHR, practice management, and real‑world data solutions, needed to unify petabytes of inconsistent data across multiple systems to create a single source of truth. Their legacy architecture caused long onboarding times (up to nine months), slow and complex data processing (some loads took up to 12 days), fragmented governance, and costly infrastructure for life‑sciences workloads.

Veradigm migrated to Snowflake—going live within two months and replatforming most reporting in under a year—leveraging Snowflake’s multi‑cluster shared data architecture, auto‑scaling, fully managed service, and Snowflake Marketplace for secure data sharing. The move cut life‑sciences infrastructure costs by about 75%, delivered examples of ~$430K annual savings for one group (consumption dropped from ~$40K/month to < $4K), sped onboarding to weeks and loads to hours, reduced tables 4x, and freed the data team for higher‑value work while enabling future ML and broader data sharing.

Veradigm

Bruce Lucarelli

Chief Data Officer