Object Storage + WAL: Lakebase Postgres for the agentic era
Databricks Lakebase reimagines Postgres with object storage and WAL for agentic AI workloads
“Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer.”
Databricks is positioning Lakebase, its object-storage-backed Postgres offering, as the database layer purpose-built for agentic AI systems. The argument is that traditional OLTP storage architectures create bottlenecks when agents generate high-volume, concurrent read/write patterns. This reflects a broader infrastructure trend: as agentic workloads scale, the database tier is becoming a recognized constraint requiring rearchitecting.