Here’s the difference between Superset and dbt. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Superset is an open-source software cloud-native application for data exploration and data visualization able to handle data at petabyte scale. The application started as a hack-a-thon project by Maxime Beauchemin while working at Airbnb and entered the Apache Incubator program in 2017.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.