Database for AI Agents: 5 Evaluation Criteria
Sep 17, 2026

Summary
This post evaluates five criteria for selecting a database for AI agents: cost, latency, data freshness, scalability, and ease of integration. It discusses how Databricks Lakehouse, particularly when integrated with Postgres, can meet these criteria by providing a unified platform for data management and AI agent orchestration. The post emphasizes the importance of a robust data foundation for efficient and effective AI agent deployment.
More from the Lakebase trail
- Load terabytes of data in minutes into Lakebase Postgres
- How to build governed enterprise apps on Databricks with Replit and Lakebase
- Lakebase Postgres branch-based restores for fast recovery at scale
- A practical guide to cost optimization with Lakebase Postgres
- Lakebase Search: State-of-the-art full text and vector search for Postgres