Lakebase
3 mentions across all digests
Databricks database architecture that separates storage from compute, enabling near-zero cost scaling and massive parallelism suited to AI-driven agentic development workflows.
Inside one of the first production deployments of Lakebase: LangGuard's agentic workflow governance engine
Databricks' LangGuard addresses a critical bottleneck in agent deployment—fewer than 10% of enterprises have scaled agents to production due to visibility and control gaps—by adding real-time policy enforcement and governance to agentic workflows via a GRAIL data fabric.
How conversational analytics removes the BI bottleneck
Databricks' Genie and Lakebase enable non-technical users to self-serve natural language analytics at scale, removing the traditional BI bottleneck.
How agentic software development will change databases
Agentic AI auto-generates ephemeral applications at scale, forcing databases to decouple storage from compute and operate at near-zero marginal cost—Databricks' Lakebase thesis.