Here’s the difference between dbt and Meltano. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Provider of open-source extract, load and transform pipelines for DataOps. It is a directory with text-based files and features such as tracking of incremental replication rate, data loading into data warehouses, UI for management and monitoring, as well as data extraction from multiple data sources.