Databricks has announced its official integration with Cube, a unified platform for working with Spark that brings together the reliability and governance of data warehouses with the openness and flexibility of data lakes. The integration allows users to build analytics features into customer-facing apps in minutes, not weeks, by combining Databricks' unified analytics and data store with Cube's data modeling, access control, caching, and APIs. Users can connect their workspace to Cube using Databricks' SQL endpoint, which provides a simple way to create a new SQL endpoint and generate credentials for the integration. With this integration, users can model their data, manage security rules, apply caching, and expose their data definitions to any downstream application via Cube's REST, GraphQL, or SQL APIs.