CustomerLake

The Agentic CDP built in Databricks

The perfect customer experience — a billion times a day.

TOP BRANDS BUILD BETTER EXPERIENCES WITH DATABRICKS

BENEFITS

Market at the speed of your customers

Accelerate growth by automating campaign planning, data preparation and personalization on one unified foundation — without silos, data copies or costly martech sprawl.

Embedded

Reclaim budget and reduce IT risk by building a unified, governed and AI-ready Customer 360 that eliminates martech complexity and data duplication.

Democratized

Convert more customers with a marketer-friendly workspace to build audiences, automate campaigns and understand customers with less reliance on IT.

Autonomous

Grow your business and reclaim hundreds of hours by replacing manual campaign execution with infinity campaigns: continuous, agent-driven engagement loops.

FEATURES

Your best CDP is already in Databricks

CustomerLake brings CDP capabilities natively to Databricks, helping marketers build trusted profiles, automate campaigns and personalize at scale — without moving or duplicating data.

Purpose-built interfaces that enable marketers to use data in their campaigns and free data teams from ad hoc requests so they can focus on strategic engineering.

A unified customer profile built directly on your data foundation, eliminating silos, excessive cost and data movement while guaranteeing IT governance.

Orchestrate 1:1 customer journeys with agents that automate campaign planning, data preparation, personalization and measurement around your business goals.

UI for planning customer winback campaigns.

Bidirectional syncing of audiences and signals with martech, adtech and CX channels directly from Databricks, without custom pipelines or additional activation layers.

Data sources to activation channels via Databricks.

Enrich profiles with third-party data and identity graphs through Databricks-managed integrations embedded in CustomerLake.

Customer data enrichment via Identity Hub.

Where data, AI and marketing come together in one platform

Agentic Identity Resolution

Automate identity resolution by combining AI-driven learning with existing rules, improving match accuracy while reducing manual tuning and maintenance.

Real-Time Profile API

Personalize content in real time and optimize channel and message delivery with a real-time serving layer for customer attributes.

3P Data Marketplace

Enrich your data with leading third-party identity graphs and data providers built directly into your data foundation in Databricks.

Pre-Built and Custom Models

Use ML models for common personalization and industry use cases, or deploy custom models via Model Serving with real-time queries directly from the customer profile.

Genie

Enable marketers to use natural language to ask questions, get recommendations and uncover campaign insights from governed customer data.

More about Genie

Unity Catalog

Govern data, audiences and models with unified access controls, lineage and business semantics, with federated access to trusted data across Databricks, Snowflake, BigQuery, cloud object storage, operational databases, and other enterprise systems.

More about Unity Catalog

Lakeflow

Ingest and transform batch and real-time customer, campaign and engagement data with native connectors to marketing tools, advertising platforms and databases.

More about Lakeflow

Lakehouse

Eliminate the cost and complexity of legacy data warehouses with Databricks Lakehouse — a serverless intelligent data warehouse built on lakehouse architecture.

More about Lakehouse

CustomerLake partner ecosystem

Built together with the leaders in customer engagement

CustomerLake connects to your existing martech and adtech ecosystem, with native integrations for marketing tools, third-party data providers and identity graphs, advertising platforms, and much more.

USE CASES

What’s possible with CustomerLake

Hexagonal diagram: customer-centric metrics.

Build trusted customer profiles where your data already lives

Unify behavior, transactions, engagement, product usage and operational data into a governed Customer 360 directly in Databricks. CustomerLake creates an AI-ready source of truth for marketing, analytics and personalization without copying data into another CDP or creating a separate customer data store.

Create golden records with Agentic Identity Resolution

CustomerLake pioneered Agentic Identity Resolution (AIR) to resolve fragmented identities directly in Databricks using deterministic, probabilistic and agentic matching. AIR uses LLM and human review for edge cases, plus an agentic feedback loop that improves match logic and data quality over time.

Because AIR is embedded in Databricks, teams can enrich profiles with third-party data and identity assets before or after resolution, without managing a separate identity platform or copying data into another CDP.