Case Study: Leap boosts analyst productivity with Dremio

Dremio Helps Leap Boost Productivity and Accelerate Growth with Self-Service Access to Energy Data

Leap, a U.S.- and Netherlands-based energy company, needed a scalable, cost-efficient way to manage rapidly growing data from thousands of smart meters and make it available to analysts without relying on custom scripts or slow CSV extracts. As data volumes grew, Leap struggled with self-service access, dataset organization, and the need to keep cloud spending under control.

Leap selected Dremio to provide self-service access to Parquet data in Amazon S3 and PostgreSQL through a standard SQL interface, with support for large extracts, fast queries, and a semantic layer for shared data views. With Dremio, Leap said analyst productivity improved by more than 30%, terabyte-scale queries dropped from minutes to seconds, data engineering workload was reduced, governance improved, and cloud infrastructure use became more efficient.

Leap

Marco Rietveld

Lead Data Engineer