Comparative study of Azure Databricks MLOps capabilities in conjuction with Azuredevops, GIT, Jenkins

[Saurabh707344]

Looking for Comparative study of capabilities of below tools combination. In what situation I should use which of the below combination for MLOps project?

a) Azure Databricks ML

b) Azure Databricks ML + Azure Devops + GIT

c) Azure Databricks ML + Jenkins +GIT

d) Azure Databricks ML + GIT

[shyam_9 · Accepted solution]

Hi @saurabh707344,

you can use Azure Databricks ML when you're in the initial stages and developing some POCs. The other tools you mentioned were used based on your usecase when you moved some of the models to production and actively developing and moving to production. You can always contact the sales/accounts team from Databricks, they have more details based on your usecase. https://www.databricks.com/company/contact