Hi Genie Hub team,
I’ve been building an enterprise application around Genie and ran into an interesting integration problem that I’d love to get the community’s perspective on.
In our setup, the application can connect to different Databricks environments, but integrating Genie currently means explicitly managing the Genie Space/workspace configuration for each environment, while also dealing with Unity Catalog permissions, access control and governance.
That becomes increasingly difficult when the same application needs to support multiple customers or multiple Databricks workspaces.
This led me to a broader idea:
Could Genie integration become connection-driven rather than configuration-driven?
For example:
Databricks connection → discover eligible Genie Spaces → validate UC/access requirements → automatically select/register the appropriate Genie Space → enforce the required governance model.
The interesting part for me is that the application shouldn't need to know “use Genie Space ID X for workspace Y.” The Databricks connection itself should be enough to discover and establish the correct Genie integration.
I’m currently experimenting with this architecture and would particularly like to hear from people working on Genie at scale:
How are you handling Genie Space discovery across multiple workspaces?
How are you managing UC permissions and governance for application-driven Genie access?
Is there a recommended Databricks-native pattern for making this connection/configuration dynamic?
Would an automated connection → Genie integration layer be useful for enterprise deployments?
I’d be very interested in connecting with anyone from the Genie/AI-BI or Databricks partner ecosystem who is working on this problem. I’d also be happy to share what we’ve built and the problems we encountered in a real implementation.
