dbt Data Transformation at Scale

Discord has developed custom solutions to scale dbt for processing petabytes of data and supporting over 100 developers working on 2,500+ models. This addresses limitations in re-compilation times, incremental materialization, and developer collaboration, creating a robust and scalable data transformation platform. The latest iteration focuses on optimizing dbt's performance for massive datasets, reducing compile times from 20+ minutes to rapid development cycles, and automating complex backfill operations. The post details specific custom solutions implemented to enhance developer productivity, prevent breaking changes, and streamline complex calculations, extending dbt's core functionality for massive scale.