Databricks unveils LTAP architecture to unify databases for AI agents

The New Stack

Databricks introduced Lake Transactional/Analytical Processing (LTAP) at the Data + AI Summit, aiming to merge transactional and analytical databases into a single system for AI workloads. The architecture is designed to eliminate the split between operational and analytical data stores.

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The New Stack·Frederic Lardinois

Jun 16, 9:30 PM