Announcing the Databricks storage ecosystem: Governing the enterprise data estate, wherever it lives

* The challenge: Organizations need to keep vast amounts of data on-premises, in private clouds, and at the edge environments to meet strict data sovereignty and regulatory requirements, maintain low latency at the edge, or handle immense data gravity—all while still bringing modern cloud AI and governance to those environments. * What it is: The Databricks Storage Ecosystem natively connects hybrid and on-premises storage platforms to Databricks using the OpenSharing protocol. This allows organizations to establish centralized data governance and scale GenAI across their entire hybrid infrastructure. * The outcome: Using a zero-copy architecture, enterprises can run Databricks Serverless Compute, Genie, and LLMs directly on their on-premises datasets without copying a single file. This instantly turns isolated data into active, AI-ready assets for advanced use cases, such as training models on classified engineering data or analyzing network telemetry in place.