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 CEO Says He’s Cracked A 40-Year-Old Database Problem With LTAP

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
SiliconANGLE

Databricks debuts new data pipeline and business intelligence tools

Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...

DX Foundation Announces Official Databricks Partnership Expanding Enterprise AI and Lakehouse Data Capabilities

DX Foundation, an enterprise data strategy and AI consultancy firm based in Austin, Texas, has announced an official ...

Monte Carlo Announces Integration with Agent Bricks, Bringing Cohesive Observability to Enterprise AI on Databricks

Monte Carlo extends observability coverage from Delta Lake tables and Lakeflow, Databricks’ unified data engineering solution, to agents built on Agent Bricks — giving enterprises a continuous, ...

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 ...
VentureBeat

Databricks open-sources declarative ETL framework powering 90% faster pipeline builds

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...