According to a recent LinkedIn post from Databricks, the company is hosting its Databricks AI Days event, which it suggests is bringing 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 operational database category featuring separated storage and compute with serverless Postgres that can scale with demand.
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The LinkedIn post also points to hands-on sessions on building and deploying AI agents with Agent Bricks, using Lakebase Postgres as the underlying data layer, and querying data in natural language with a tool called Genie. For investors, this emphasis on an end-to-end stack for AI agents and scalable databases may indicate Databricks’ intent to deepen its competitive position in AI infrastructure and expand monetization opportunities across data, database, and application layers.
The post suggests Databricks is positioning Lakebase as a response to emerging “age of agents” workloads, where elastic, serverless architectures are critical for cost-efficient scaling. If customer adoption materializes, this could support higher consumption-based revenues, increase platform stickiness, and intensify competition with cloud hyperscalers and database incumbents that are also targeting AI-native operational data services.