CustomerLake
An AI-ready customer data platform built by HP on Databricks. It integrates unified customer identity with real-time data pipelines to support AI application development.
Timeline (last 90 days)
CustomerLake announced that its core product Campaign Agents has officially entered the Beta stage.
CustomerLake says leading enterprise customers have already begun rolling out Campaign Agents.
CustomerLake's move reflects a trend in the CDP space: AI agents are being embedded into marketing infrastructure.
HP's CustomerLake combines deterministic identity resolution rules with probabilistic matching to build unified customer master data.
At the Data + AI Summit 2026, HP shared its case of using Databricks to build an AI-ready customer data platform (CDP) called CustomerLake.
In CustomerLake's pipeline design, HP emphasizes moving data quality monitoring upstream, validating and cleaning data as it enters the lakehouse rather than remediating it afterward.
Using Databricks' Structured Streaming capabilities, HP feeds website behavior, order events, and customer service interactions into CustomerLake in near real time, enabling marketing teams to trigger personalized outreach based on the latest behavior.
HP chose Databricks as the core engine of CustomerLake because its lakehouse architecture can handle diverse customer data such as structured transaction records, semi-structured clickstream logs, and unstructured customer service conversation text.
CustomerLake is delivered in phases: first unifying customer identity, then building real-time behavioral data pipelines, and finally opening it up to business lines for AI application development.
All Facts (9)
CustomerLake's move reflects a trend in the CDP space: AI agents are being embedded into marketing infrastructure.
50%UnverifiedCustomerLake says leading enterprise customers have already begun rolling out Campaign Agents.
50%UnverifiedCustomerLake is delivered in phases: first unifying customer identity, then building real-time behavioral data pipelines, and finally opening it up to business lines for AI application development.
50%UnverifiedHP's CustomerLake combines deterministic identity resolution rules with probabilistic matching to build unified customer master data.
50%UnverifiedIn CustomerLake's pipeline design, HP emphasizes moving data quality monitoring upstream, validating and cleaning data as it enters the lakehouse rather than remediating it afterward.
50%UnverifiedUsing Databricks' Structured Streaming capabilities, HP feeds website behavior, order events, and customer service interactions into CustomerLake in near real time, enabling marketing teams to trigger personalized outreach based on the latest behavior.
50%UnverifiedHP chose Databricks as the core engine of CustomerLake because its lakehouse architecture can handle diverse customer data such as structured transaction records, semi-structured clickstream logs, and unstructured customer service conversation text.
50%UnverifiedCustomerLake announced that its core product Campaign Agents has officially entered the Beta stage.
50%UnverifiedAt the Data + AI Summit 2026, HP shared its case of using Databricks to build an AI-ready customer data platform (CDP) called CustomerLake.
50%