Case Study: Fastned achieves scalable, real-time data insights with Databricks

A Databricks Case Study

Preview of the Fastned Case Study

Charting a path toward more sustainable transportation

Fastned, a pioneer in fast-charging infrastructure for EVs, was scaling rapidly as electric mobility grew and its data volumes expanded across chargers, maintenance, customer support, app usage, and third-party traffic data. Its legacy AWS Redshift setup was too expensive and resource-intensive to scale, and using Tableau to share insights across teams made wide-scale analytics costly. Fastned turned to Databricks to support its growing need for near real-time insights and broader data access.

With the Databricks Data Intelligence Platform, Fastned unified its data into a single platform and enabled employees across the business to tap into insights from charging stations and operations data. Databricks helped Fastned move toward streaming analytics and data democratization, improving its ability to scale with demand while supporting innovation for a better EV charging experience.


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Fastned

Yannick Schuermans

Director of Operations and Analytics


Databricks

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