Case Study: Code42 boosts data team productivity with dbt Cloud from dbt Labs

Code42 increased data team productivity by switching from dbt Core to dbt Cloud

Code42, a Minneapolis-based cybersecurity software company, used dbt Core alongside Snowflake, Fivetran, and Tableau to build out its analytics stack. But as its data models and dependencies grew, the small data team struggled with repeated SQL, inconsistent metrics, and slow, error-prone debugging—especially without CI/CD or strong visibility into production changes.

To solve this, Code42 moved to dbt Cloud from dbt Labs, gaining a GitHub-integrated IDE, built-in CI/CD, logging, alerting, and scheduling. The result was a more scalable and governed data workflow that saved 40 hours per week on model maintenance, reduced warehouse computing costs by 10%, cut ingestion costs by 15% with dbt snapshots, and increased dashboard uptime from 80% to 95%.

Code42

Josh Carlson

Director of Analytics