Database for AI Agents: 5 Evaluation Criteria
Databricks, Thursday, September 17th, 2026
Databricks lays out five criteria for choosing a database that can support AI agent workloads.
Databricks proposes five evaluation criteria for selecting a database to back AI agents: branch isolation, serverless operation, and related properties that agent workloads demand.
The post explains why traditional transactional databases struggle when agents spawn many short-lived, experimental workloads.
It maps each criterion to concrete failure modes teams encounter in production. The guidance connects to Databricks' Lakebase managed Postgres offering.