An agentic, account-level experience, to monitor and up-level the governance of your Databricks estate at-scale, starting with data, AI, and cost insights and recommendations.
by Sadhana Bala, Kristen Wilder and Jodi Boone
Your FinOps lead needs to easily drill-down into Databricks spend and identify what’s driving costs, without maintaining dozens of queries and dashboards. Your data governance team built their own tools to track classification coverage, and they're already stale. Your AI deployment team needs to understand what models and agents are being used by developers.
These are the conversations we heard again and again from customers. The teams responsible for governing the Databricks estate across 100s of workspaces over multiple regions often can't access the insights they need. And when they can, the data is scattered across system tables, workspace-level views, and third-party tools. This is where Governance Hub comes in. It's a centralized, account-level view of data health, AI usage, and cost, with prioritized recommendations, across AWS, Azure, and GCP. Now available in Beta.
Built for the teams who need it most. Governance Hub is designed for platform and governance teams who are responsible for governance across their domain, giving them the ability to drill into what matters without being constrained by a single workspace. It also supports administrators who need to oversee the account, delegate, and keep the organization compliant without becoming the bottleneck.
