Case Study: carwow achieves faster, more reliable data access with Fivetran

Modern Data Stack helps carwow Drive Business Forward

carwow, the automotive marketplace, needed a faster and more reliable way to sync growing volumes of data from multiple sources. Its old ETL processes were slow, costly, and often broke, leaving teams without up-to-date data for analysis; PostgreSQL dumps could take up to 12 hours and sometimes weren’t finished by the start of the workday. carwow turned to Fivetran alongside Snowflake and Tableau to modernize its data stack.

With Fivetran, carwow centralized data ingestion from sources including Google Ads, Bing Ads, Facebook Ad Insights, Apache Kafka, Heroku PostgreSQL, Outbrain, and Taboola into Snowflake for analysis in Tableau. Fivetran even built a Kafka connector for carwow, and the new setup freed up 30–50% of data scientists’ time previously spent on ETL, improved data reliability, and gave the business faster access to key performance metrics such as customer propensity to enquire or buy.

Carwow

Isaac

Senior Developer