Databricks CEO Says He’s Cracked A 40-Year-Old Database Problem With LTAP
Not a conference demo. Databricks just unified OLTP and OLAP—the 40-year database problem that's been blocking real-time AI pipelines.

Why it matters
LTAP collapses the operational/analytical database split, removing a critical infrastructure bottleneck for companies building production AI systems. This directly impacts data engineering costs and AI deployment speed.
The key facts
5 to knowDatabricks CEO Ali Ghodsi unveiled LTAP architecture
Addresses 40-year OLTP/OLAP unification problem
Announced at Data + AI Summit 2026
Collapses historical separation between operational and analytical databases
Infrastructure innovation enabling faster AI pipeline deployment
Go to the source
Forbes Innovationforbes.com
Publisher excerpt: At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification problem of OLTP and OLAP databases.