You might wanna look into MLFlow.

But as far as the deployment of models goes, MLFlow only does local REST APIs afaik.

Added to that you can also deploy to AzureML or Sagemaker.

Not sure what Databricks's plans are on the deployment part. I think they probably will go for out of the box integration with existing platforms, but Databricks people in here might shine a light on this.