Databricks wants to merge the two databases every company runs

▤ Summary

Databricks unveiled LTAP, an architecture designed to combine transactional and analytical databases into one open data layer for AI agents. The company also introduced Lakehouse//RT for low-latency analytics, along with Lakebase extensions such as vector search, full-text search, event ingestion, and branching. Databricks positions these tools as a way to remove duplicated systems, stale data, and complex pipelines from enterprise data stacks. The launch also ties into its broader agent strategy, including Unity AI Gateway and CustomerLake. The company frames the move as a major shift in how enterprise data infrastructure supports AI-driven workloads.

▦ Linked Companies

Neon Inc.

up to $1M

Databricks

$1B+