To bring automation to machine learning operations (MLOps) in the Databricks Unity Catalog, linking up GitLab CI/CD pipelines is revolutionizing the way we govern our data. As of September 2025, the community-driven examples and updates from Databricks show that companies can use GitLab to create isolated model registries for individual tenants, run compliance checks, and deploy ML workflows in a declarative style. 

By bridging gaps in traditional data platform operations, this setup brings us one step closer to scalable, secure ML deployments with much less manual intervention.