Case Study: Breakthrough speeds embedded analytics and dashboard development with Cube Dev

Semantic layer speeds time to market with metrics in one location

Breakthrough, a SaaS company providing sustainable fuel and freight solutions, needed to speed up its analytics and embedded dashboards. Their custom SQL on Postgres was too slow for analytical queries, and they needed a data stack that could support both self-serve product analytics and service-based reporting.

Cube Dev implemented Cube as the semantic layer, alongside Google BigQuery, dbt, Preset, and React, to centralize metrics and power all of Breakthrough’s data experiences. With Cube Dev, Breakthrough cut dashboard load times to about 2 seconds, reduced feature development from months to days, and improved query performance enough to bring more users onto the platform.

Breakthrough

Juan Muñoz

Chief Technologist