According to a recent LinkedIn post from Databricks, the company is hosting Databricks AI Days, an event it says brings together more than 15,000 data and AI leaders to explore intelligent application development. The post highlights a focus on “Lakebase,” described as a new category of operational database designed for agent-based workloads, featuring separated storage and compute and serverless Postgres that scales with demand.
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The post also points to hands-on sessions on building and deploying AI agents using Agent Bricks, powering those agents with Lakebase Postgres, and querying data in natural language with the Genie interface. For investors, this emphasis on an integrated AI data and application stack may signal Databricks’ intent to deepen its competitive moat against cloud and database providers, potentially increasing platform stickiness and expanding its addressable market in AI-native applications.