Case Study: Car & Classic achieves 10x faster reporting and stronger data trust with dbt Labs, Snowflake, and Metaplane

A dbt Labs Case Study

Preview of the Car & Classic Case Study

Car & Classic’s speeds up their report load time by 10x with Metaplane, Snowflake, and dbt Cloud

Car & Classic, Europe’s leading classic car marketplace, needed a faster, more reliable way to make data accessible across the business. With a small data team supporting more than 100 stakeholders, slow MySQL queries, scattered metric definitions, and long iteration cycles were making reporting sluggish and reducing trust in the data. dbt Labs helped address these issues with dbt Cloud as part of a modern data stack.

By implementing dbt Labs’ dbt Cloud alongside Snowflake and Metaplane, Car & Classic centralized transformations, improved visibility into lineage, and introduced engineering best practices like code review and testing. The result was a scalable, trusted data environment with 10x faster report load times, 8 hours saved per week identifying data incidents, and a major reduction in the time needed to detect and resolve data quality issues.


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Car & Classic

James Sharwin

Head of Data


dbt Labs

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