Case Study: BlaBlaCar achieves faster marketing data ingestion with Boomi

BlaBlaCar Speeds Up Data Pipelines by 64 hours with Boomi Data Integration

BlaBlaCar, the global long-distance carpooling platform, needed a faster and more scalable way to ingest marketing data from Google, Facebook, and Bing Ads. Before Boomi, its team relied on manual Python scripts and ongoing schema updates, which slowed analytics, increased maintenance, and delayed marketing decisions.

Boomi Data Integration automated API schema handling, expanded connector coverage, and simplified pipeline setup for BlaBlaCar’s marketing data flows into BigQuery and Tableau. With Boomi, BlaBlaCar cut ingestion setup to half a day, saved more than 64 hours of manual work, and reduced a Facebook Ads migration from months to one week.

BlaBlaCar

Antoine Lefebvre

Data Engineering Product Owner