dbt and the Modern Data Stack
Updated April 12, 2021

dbt and the Modern Data Stack

Daniel Denunzio | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

dbt Core

Overall Satisfaction with dbt (data build tool), from Fishtown Analytics

dbt is used by our BI and Analytics team to create and manage models in our data warehouse. The models created with dbt are used for LOB reporting.
  • Model creation and management.
  • Deployments and CI/CD.
  • Automatically generates documentation.
  • Deployment and sharing of generated documentation outside of dbt cloud could be simplified.
  • Make the artifacts generated by dbt easier to consume (build log, test results, manifest) for use in analytics and ops.
  • dbt has reduced our time to insight dramatically.
  • dbt has allowed us to leverage packages and analytics from our other vendors (Fivetran).
  • dbt has empowered our Analysts to build and manage their own models without adding more engineering resources.
dbt fits much better in our stack, where we're using specialized tools to support our ELT approach.

Do you think dbt delivers good value for the price?


Are you happy with dbt's feature set?


Did dbt live up to sales and marketing promises?


Did implementation of dbt go as expected?


Would you buy dbt again?


Very well suited for Data Engineering and Analytics Engineering. Works very well in modern data stacks with other tools such as Fivetran and Snowflake. Not appropriate for teams with little SQL experience or who require no-code analytic/engineering options.