Case Study: Ramp achieves faster, more collaborative data analysis with Deepnote

How Ramp built a better data platform with Deepnote

Ramp, a leading corporate card and finance automation platform, faced a challenge with its data platform. Its previous data notebook tool was hindering productivity for its data professionals, featuring slow compute spin-up times, difficult file handling, and a cumbersome user experience that created a significant support burden for the internal data platform team. The company sought a new solution to streamline exploratory data analysis and chose to implement Deepnote.

By adopting Deepnote, Ramp provided its team with a fast, collaborative data notebook environment. The solution drastically reduced machine boot times from 5-10 minutes to under 30 seconds, eliminated unnecessary compute costs, and simplified complex tasks with seamless integrations and Docker support. The measurable results for Deepnote included a vastly improved user experience that boosted productivity, enhanced collaboration and visibility across the company, and freed the data platform team to focus on higher-impact work.

Ramp

Ryan Delgado

Staff Software Engineer, Data Platform