Databricks says it solved the decades-old data pipeline problem that's been slowing AI agents

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Databricks unifies OLTP and OLAP, depending on what counts as a copy

When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...
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Databricks tested a stronger model against its multi-step agent on hybrid queries. The stronger model still lost by 21%.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...