Databricks today put an end to weeks of rumors by announcing CustomerLake, a CDP agent.
The announcement took place during the company’s Data + AI Summit in San Francisco and marks Databricks’ entry into the martech market. In March, Databricks entered the security market with the announcement of its Lakewatch product.
CustomerLake provides marketers and data teams with a workforce of agents who continuously analyze behaviors, make decisions, and take action. The company claims this agent workforce can consistently deliver personalized customer experiences 1 billion times a day.
Built on Databricks Lakehouse technology and governed by its Unity Catalog, CustomerLake consolidates customer data, identity resolution, audience creation, campaign automation and activation.
With the announcement of CustomerLake, Databricks is addressing marketing organizations facing a future where agents will be used internally by marketers, while at the same time marketers will need to market the agents deployed by customers to research and evaluate products.
According to Databricks, most traditional martech applications were not designed for either scenario.
Does the agentic era require a new generation of CDPs?
Legacy CDPs follow a waterfall model: campaigns are planned and executed across dozens of disconnected systems, can take weeks to ship, and leave customer data siled outside of the company’s core AI platform. The result is a fractured identity that makes true personalization at scale impossible.
The agentic era, on the other hand, requires real-time access to context, data, and execution. With CustomerLake, Databricks integrates CDP natively into the Databricks platform, so the same models that generate insights can directly drive activation.
“Marketers need to reinvent their entire foundation – not just the campaigns they run, but the clients they run them for, which now includes agents,” Ali Ghodsi, co-founder and CEO of Databricks, said in a statement. “With CustomerLake, customer data, AI models and agents live on a single governed platform. Marketing stops being a series of campaigns and becomes a continuous loop: agents constantly analyzing, deciding and acting on each customer in real time. For the first time, businesses can deliver infinite campaigns and 1:1 personalization at scale.”
Databricks also announced an open partner ecosystem that will ingest and activate data across platforms and partners, including Adobe, Meta (Audience and Conversions API), Acxiom, Epsilon, LiveRamp, The Trade Desk, Braze, Bloomreach, Iterable, Snapchat, Magnite, TransUnion, Adstra, Twilio, Integral Ad Science (IAS), and Unity.
Native integrations and reverse ETL allow CustomerLake users to connect Databricks with bi-directional pipelines across the entire marketing and advertising technology stack.
CustomerLake’s agentic identity resolution combines rules and agents to unify disconnected records into richer, more accurate customer profiles. A built-in identity marketplace enriches profiles with third-party identity graphs and partner data from vendors such as Acxiom, Epsilon, LiveRamp, TransUnion and Adstra.
The position Databricks unveils CustomerLake, its agentic CDP appeared first on MarTech.
