Case Study: BlaBlaCar implements data pipelines in half a day with Rivery

BlaBlaCar implements pipelines in half a day and saves over 64 hours on data ingestion with Rivery

BlaBlaCar, the global long-distance carpooling platform, needed to scale marketing data ingestion for Google, Facebook, and Bing ads, but their team was spending hours on repetitive manual work to manage API changes and schema updates. They turned to Rivery for help with API ingestion and data pipeline automation, including support for REST APIs and BigQuery.

Using Rivery, BlaBlaCar quickly set up marketing connectors, auto-managed schema changes, and streamlined data ingestion for analytics and reporting. The result was dramatic: pipelines that once took days or weeks could be built in half a day, Facebook ads migration took just a week, and the company saved over 64 hours on data ingestion.

BlaBlaCar

Antoine Lefebvre

Data Engineering Product Owner