Case Study: Zillow Unifies Governed Data and Powers Agentic AI with Databricks

Zillow cuts operational overhead by 65% with Databricks

Zillow, the real estate marketplace, faced a challenge with data fragmented across its many products and acquired companies. Siloed systems with separate compliance requirements made it difficult to unify data for a seamless customer journey and hindered the development of new AI initiatives like their conversational AI Mode. This complexity slowed down operations and required significant manual effort for cross-team data requests.

By implementing a unified platform from Databricks centered on Unity Catalog for governance, Zillow broke down data silos. They extended this foundation with Databricks Lakebase to provide a persistent, low-latency memory layer for their AI agents. This solution led to a 65% reduction in operational overhead and supported 450% user growth while decreasing support tickets per user by 44%. Databricks enabled Zillow to rapidly deploy production-grade, compliant agentic AI and empower teams with self-service analytics.

Zillow