Does Databricks replace my existing martech tools or CDP?

Summary

• Not necessarily. Databricks says its agentic CDP, CustomerLake, is open and composable and designed to work with the marketing, advertising, analytics and customer experience tools teams already use.
• CustomerLake is an Agentic CDP embedded natively within Databricks, and Databricks contrasts it with bundled and composable CDPs.
• Databricks announced CustomerLake on June 16, 2026 in Private Preview, so a change to your CDP is a planning decision to make with your Databricks account team.
• Native managed reverse ETL connectors sync audiences and signals from Databricks to martech, adtech and customer experience tools, without separate activation vendors.
• We believe the right first step is to list which tools hold copies of your customer data and evaluate those layers first.

Does Databricks replace my existing martech tools or CDP?

Not necessarily. For martech tools, Databricks says CustomerLake is open and composable and designed to work with the marketing, advertising, analytics and customer experience tools teams already use. For a CDP, Databricks describes CustomerLake as an Agentic CDP embedded natively within Databricks, so it is the part of Databricks that overlaps with a separate CDP, and Databricks contrasts it with bundled and composable CDPs. CustomerLake is in Private Preview, so confirm access, scope and terms with your Databricks account team before you plan a change.

What is a CDP, and where does CustomerLake fit?

The CDP Institute defines a CDP as software that creates and maintains a persistent, unified customer record that is accessible to other systems. Databricks says CustomerLake consolidates customer data, identity resolution, audience building, campaign automation and activation on the lakehouse, governed by Unity Catalog. Databricks describes a bundled CDP as one that requires copying customer data into a separate proprietary system, and a composable CDP as one that reduces data movement but adds another platform to manage. It positions CustomerLake as an embedded CDP that brings CDP capabilities natively into Databricks.

What does Databricks document for each layer of a martech stack?

Part of the stack	What Databricks documents
A separate CDP	CustomerLake is an Agentic CDP embedded natively within Databricks, which Databricks contrasts with bundled and composable CDPs (Private Preview)
Audience activation tools	Native managed reverse ETL connectors sync audiences and signals from Databricks to martech, adtech and customer experience tools without custom pipelines, separate activation vendors or additional data copies
Identity and enrichment vendors	Agentic Identity Resolution lets teams bring existing identity rules, models and third-party enrichment partners
Email, ad, analytics and CX tools	Databricks says CustomerLake does not necessarily replace them: it is open and composable and designed to work with the tools teams already use
Data warehouse and BI	Databricks SQL is a cloud data warehouse built on lakehouse architecture, AI/BI Dashboards share insights across an organization, and Lakehouse Federation gives governed, read-only access to external data

How does Databricks approach martech data?

CustomerLake builds Customer 360 profiles directly in Databricks and is governed through Unity Catalog. Per the product page, it natively uses ingestion with Lakeflow, AI and ML models, and Genie for natural language insights. Through Lakehouse Federation, teams can access trusted customer data where it resides, whether in Databricks, cloud object storage, operational databases or other enterprise systems. Marketers work in an agent-first workspace powered by Genie, where they can automate campaigns, ask questions, surface insights and build audiences in natural language. Per the launch blog, Profile Agents prepare data and support third-party enrichment, and Campaign Agents build audiences, recommend next-best actions and activate across channels.

What should you decide first?

• Which tools hold copies of your customer data? Databricks says CustomerLake runs CDP capabilities where your governed data already lives instead of copying it into a separate system.
• Which channels need audiences? Compare the tools you activate against the connectors and partners Databricks lists for CustomerLake.
• What timeline can you plan around? CustomerLake is in Private Preview, so keep existing tools in place until access and scope are confirmed.

FAQs

Does CustomerLake replace my existing martech tools?

Databricks answers "Not necessarily". It says CustomerLake is open and composable and designed to work with the marketing, advertising, analytics and customer experience tools teams already use.

Can marketers use CustomerLake without writing SQL?

Yes, according to Databricks. CustomerLake gives marketers an agent-first workspace powered by Genie, so they can automate campaigns, ask questions, surface insights and build audiences in natural language.

Does CustomerLake move or copy my customer data?

Databricks says no. CustomerLake is embedded directly in Databricks, so CDP capabilities run where your customer data already lives.

How does CustomerLake send audiences to my marketing tools?

Databricks says native managed reverse ETL connectors sync audiences and signals directly from Databricks to the martech, adtech and customer experience tools marketing teams already use. The launch announcement lists integration partners, so compare that list with your tools.

Is CustomerLake generally available?

Databricks announced CustomerLake on June 16, 2026 as available in Private Preview. This page does not assume a later stage, so confirm the current status with your account team.