The first joint package must make intelligent applications easier to start without making the data architecture harder to defend.
Application teams want faster feature delivery while platform teams protect governed operational data and avoid another point database.
Who you’d be doing this for
“Product wants a demo next quarter, and I’m still being asked where the app data is supposed to live.”
Saskia Henderson · Principal Data Engineer
She supports the platform team that must provide governed data and operational foundations for new AI-enabled applications.
What is at stake
Application leaders are pausing architecture choices while partners give conflicting answers about governed operational data. You must weigh a fast partner promise against a package that platform teams can defend and adopt.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- partner speed vs product certainty
- application delivery vs architecture discipline
- joint attribution vs simple forecasting
- early market learning vs repeatable scale
Why Databricks
Lakebase and Databricks Apps put operational data and intelligent applications in the same customer conversation.
Written with these in mind
Not your kind of problem? 107 more at Databricks, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.