Anaconda vs Dataform: What are the differences?

Developers describe Anaconda as "The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders". A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. On the other hand, Dataform is detailed as "A framework for managing SQL based data operations". Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

Anaconda and Dataform are primarily classified as "Data Science" and "Business Intelligence" tools respectively.

Dataform is an open source tool with 117 GitHub stars and 11 GitHub forks. Here's a link to Dataform's open source repository on GitHub.