I have been using dbt over more than a year now and I am using it almost every day as a data engineer. Its very simple to use and it is advantageous in many ways. It is easy to implement the code pipelines using dbt. The user interface is pretty good. Modularity and reusability is most useful feature. Also it is very useful in debugging with its code lineage feature. It is easy to integrate it with cloud data platforms such as Snowflake or Redshift. Also I have interacted with the support team from dbt for some of my doubts. I would recommend it to data architects to consider dbt in the modern data stack projects.

Cloud.dbt has proven to be an invaluable tool for our data modeling and analytics needs. Its seamless integration with cloud platforms, user-friendly interface, and robust features have significantly streamlined our workflow. The platform's automation capabilities have allowed our team to focus more on deriving insights from data rather than dealing with intricate modeling processes. The collaborative environment enhances team productivity, making it a standout solution for organizations aiming to elevate their data analytics game. I use it daily.

Automatisch erstellte ERD-Diagramme und vieles mehr an Metadaten über erstellte Modelle.