DATABRICKS
A new database for the agent era The case for Lakebase is also a case against the status quo. Traditional transactional databases, Shiv argues, have seen little fundamental innovation since the 1980s. They were designed for human users working at human pace. AI agents operate very differently.
“ Agents acting on behalf of humans will be spinning up databases at a speed and scale that we have never seen before,” Shiv asserts. Databricks has invested in and acquired specific technologies to support this, which the current transactional database market simply cannot match.
The practical implications are significant across several industries. In automotive, for example, manufacturers managing tens of thousands of parts across multiple vehicle models must constantly reconcile their bill of materials with live risk data.
Shiv explains:“ The whole aspect of managing the most up-to-date parts list for every vehicle, every model that you’ ve shipped, in a way that helps you serve the fleet better and manage your recall or warranty risks – that’ s a very good application of what Lakebase can do.”
64 June 2026