How does Databricks support collaboration with version control?

Databricks supports collaboration with version control primarily through the integration with external Git providers. This connection enables teams to work together on code and data more effectively by providing the ability to track changes, manage different versions of notebooks, and collaborate synchronously. Users can connect their Databricks workspaces to popular Git services like GitHub, GitLab, or Bitbucket. This allows them to pull and push changes directly from their Databricks notebooks, facilitating code reviews, managing contributions from multiple team members, and maintaining a history of different versions for easy reference and rollback if necessary.

Utilizing this feature significantly enhances collaborative efforts, as it ensures that all team members can access the latest versions of the code, see the evolution of the project, and contribute in a structured and organized manner typical of software development practices.