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Introducing CustomerLake: The Agentic CDP embedded in Databricks
Tasso Argyros, Justin DeBrabant, Michael Trapani, Dan Morris, Katy Yuan
- Source
- Databricks
- Published
- Added to Yomu
Summary
Databricks announces CustomerLake, an Agentic Customer Data Platform embedded natively in its lakehouse, bringing Customer 360, identity resolution, audience building, campaign automation, activation, and personalization alongside governed data and AI models. The announcement addresses fragmented identities, stale audiences, manual campaign workflows, and the duplication and governance burden created by separate martech systems. CustomerLake uses Unity Catalog and Lakehouse Federation to access customer data across Databricks, Snowflake, Google BigQuery, cloud object storage, operational databases, and other enterprise systems, while Profile Agents create business-ready profiles and Campaign Agents build audiences, recommend actions, activate channels, and optimize engagement. Its operating model is described as embedded, democratized, and autonomous, with Agentic Identity Resolution combining deterministic, probabilistic, and agentic workflows. CustomerLake is now available in Private Preview and launches with an open partner ecosystem.
Context
Marketing and data teams face fragmented identities, stale audiences, manual campaign work, delayed data requests, and duplicated sensitive customer data across disconnected martech systems. The announcement frames the underlying issue as an architecture problem: existing CDPs sit outside the core Data and AI platform, creating additional integration, governance, and reconciliation work.
Approach / What changed
CustomerLake embeds CDP capabilities in the Databricks lakehouse and governs them with Unity Catalog. Lakehouse Federation provides access to data across enterprise systems, while Profile Agents create Customer 360 profiles and Campaign Agents support audience building, next-best actions, activation, and continuous optimization. Agentic Identity Resolution combines deterministic, probabilistic, and agentic workflows.
Takeaways
- CustomerLake combines Customer 360, identity resolution, audience building, campaign automation, activation, and personalization with Databricks governance, scale, and security.
- Profile Agents prepare customer data, identify quality issues, support enrichment, and unify disconnected records into business-ready golden profiles using Agentic Identity Resolution.
- CustomerLake is available in Private Preview and includes an open partner ecosystem spanning identity, activation, measurement, and customer experience.