Databricks can serve as the data foundation for a CDP architecture. The customer identity, marketer-facing audience, and activation capabilities depend on the applications and workflows you configure around it. Amperity is an AI-powered Customer Context Platform, bringing those customer-data capabilities to your Databricks investment.

Amperity + Databricks

Databricks CDP with trusted customer context

Q: What is a Databricks composable CDP?

A Databricks composable CDP combines Databricks with tools for customer identity, audience management, and activation. You choose the components around your existing data platform. Our role is to resolve fragmented customer records and make that context useful for your teams and connected marketing tools.

Q: How is Amperity different from reverse ETL?

Reverse ETL moves prepared data into downstream tools. Amperity combines identity resolution and profile building with segmentation and activation. Evaluate both how an architecture resolves fragmented customer records and how it puts the resulting audiences to work; reverse ETL vendors may offer additional capabilities beyond data movement.

Q: Does our data have to leave Databricks?

Data movement depends on your configuration and workflow. Amperity Bridge supports shared-table access without replicating those tables. That sharing mechanism does not make the full architecture zero-copy: storage, batch processing, Amperity-managed services, and the audience data sent to marketing destinations each have their own data flows.

Q: Can marketers use Databricks customer data without writing SQL?

Marketers can build audiences through Amperity's visual Segment Editor once the relevant data and attributes are configured. Your data team still prepares the foundation and manages access; marketers review segments and activate them through supported destinations.

Q: Does a Databricks CDP support real-time personalization?

It can, when the required signals and activation services are configured. Amperity's real-time profiles and Profile API remain Amperity-managed services. Their freshness depends on available source signals and the workflow. Enabling Databricks batch compute does not make the entire architecture real time.

Your customer data is in Databricks. When one shopper appears under different emails, loyalty IDs, and purchase records, your teams can still miss the relationship.

We bring identity resolution and customer context to your Databricks investment, helping you recognize customers across connected sources, build useful profiles, and activate audiences through supported marketing tools.

Request a demo Explore lakehouse demo

Your lakehouse holds the records. Identity connects the customer.

A store purchase, an online order, and a loyalty account can belong to the same person without sharing a reliable identifier. If you count them separately, customer value, channel preference, and campaign audiences can tell different stories.

Databricks gives you a foundation for managing and analyzing those records. We help connect them into resolved profiles so marketing and data teams can work from a more consistent understanding of your customers.

Identity Resolution

How Amperity works with Databricks

Connect the data you choose to share

Your data team decides which tables to make available. Amperity Bridge uses OpenSharing, the evolution of Delta Sharing, for configured table sharing between Databricks and Amperity. You can share data in both directions and make resolved profiles available for analysis in Databricks.

Resolve fragmented customer records

An exact email match can miss a customer who changed email addresses or used a different account in store. We combine rules and AI scoring to find connections across the first-party sources you provide, helping your team reconcile incomplete and inconsistent records.

Build audiences and put them to work

Your marketers need a usable audience built from purchase history and customer attributes. We help them create segments from resolved profiles, review the audience, and send it to configured destinations, while your analysts use shared customer context in Databricks.

Databricks integration

Choose how sharing, storage, and compute fit your environment

Plan data sharing, storage, batch compute, and activation separately. Amperity offers distinct options for sharing selected tables, using customer-owned storage, and running supported batch jobs in Databricks.

Layer or option	What it supports	What to plan for
Amperity Bridge	Configured inbound and outbound table sharing between Databricks and Amperity.	Sharing a table does not determine where processing, storage, or activation runs.
Bring Your Own Storage	For eligible new tenants, customer-owned Amazon S3 or Azure Blob Storage for configured Amperity data.	Storage and compute are independent choices. Confirm tenant, cloud, and region eligibility.
Bring Your Own Compute	Supported batch jobs in your Databricks account when enabled for your tenant.	Public preview with phased workload enablement; confirm the jobs available to your tenant.
Amperity-managed services	Application, orchestration, ingest and sharing services, real-time profiles, predictive models, AI Assistant, and audience delivery.	These services remain Amperity-managed when Databricks compute is enabled.

Bring Your Own Compute for Databricks is available in public preview for eligible prospects and new customers. Amperity confirms the supported workloads enabled for each tenant. Supported BYOC jobs include identity resolution, profile generation, queries, and segmentation; Stitch is enabled separately during preview. BYOC alone does not move the full Amperity application or downstream services into Databricks.

Review compute options

Give your Databricks marketing workflows better customer context

Recognize valuable customers across store and online

A loyal store shopper can look like a new customer online. Use resolved purchase history to understand cross-channel behavior and build audiences based on the value you can see across connected sources.

Make paid media audiences more relevant

Acquisition budgets lose value when audiences include people who have already purchased. Build suppression and prospecting audiences from resolved customer records, then send reviewed segments to supported advertising destinations.

Bring customer history into retention campaigns

Your retention team needs to distinguish a recent buyer from someone whose purchase pattern has changed. Use available history and customer attributes to create audiences for repeat-purchase, loyalty, and win-back campaigns.

Give analytics and AI a shared identity foundation

A model trained on fragmented profiles can misread the relationship behind the records. Make resolved context available in Databricks so your analysts and data scientists can use it in their own analysis and models.

Explore Activation

New Look found the cross-channel customers its data was hiding

New Look's fragmented records obscured high-value shoppers and made personalization harder. Using Databricks' Data Intelligence Platform and Amperity Bridge, the retailer uncovered 3.4 million customer profiles previously fragmented across multiple records.

71% of its top customers were found to shop across channels.
24% more high-value customers were identified.
50% higher ROAS was reported using an Amperity-built audience.

New Look customer story

Start with the use case and the data behind it

Your first use case might be recognizing high-value shoppers, reducing wasted acquisition spend, or improving a retention audience. We work with your team to identify the relevant sources, assess customer identity, and choose the sharing and deployment options that fit.

Before activation, review the profiles and audience with your team. Agree on the destinations, refresh schedule, and success measures so you can evaluate the result against a clear baseline.

Request Data Diagnostic

Databricks CDP FAQs

Is Databricks a CDP?

What is a Databricks composable CDP?

How is Amperity different from reverse ETL?

Does our data have to leave Databricks?

Can Amperity run on our Databricks compute?

Yes, for supported batch jobs when BYOC is enabled for your tenant. Bring Your Own Compute for Databricks is available in public preview for eligible prospects and new customers. Amperity confirms the supported workloads enabled for each tenant. The application, orchestration, real-time services, and audience delivery remain Amperity-managed; confirm the jobs, storage, and permissions your implementation needs.

Can marketers use Databricks customer data without writing SQL?

Does a Databricks CDP support real-time personalization?

Make your Databricks investment work harder for your customers

Bring us the customer decision your team needs to improve. We'll show how resolved identity, shared profiles, and audience activation can fit the Databricks environment you already use.

Request a demo