Databricks Delta Sharing with Amperity

Connect Databricks and Amperity through bidirectional OpenSharing, an evolution of Delta Sharing, without copying customer data or maintaining separate ETL workloads. Build identity-resolved profiles and return them to your lakehouse.

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Turn Databricks data into trusted customer context

No copy pipeline

Connect Databricks data to Amperity without building another copy pipeline.

Unified across systems

Resolve customer records across brands, regions, and systems.

Profiles back in Databricks

Return unified profiles and attributes to Databricks for analysis.

Controlled sharing

Control which schemas and tables are shared in each direction.

Databricks connection at a glance

Capability

Details

Direction

Inbound, outbound, or bidirectional

Method

OpenSharing, an evolution of Delta Sharing

Data movement

Zero-copy access to individual files in cloud storage

Security

TLS encryption and short-lived credentials

Inbound objects

Selected Databricks schemas and tables

Outbound objects

Selected Amperity Customer 360 schemas and tables

Governance

Audit activity recorded in Databricks and Amperity

Configuration

Unity Catalog, shares, recipients, credentials, and required permissions

What teams do with Amperity and Databricks

Resolve identities across complex data estates

Use customer data centralized in Databricks to connect records across brands, markets, and source systems. Amperity resolves customer records across those sources into profiles that teams can use for analysis, activation, and reporting.

Return trusted profiles to the lakehouse

Share unified profiles and calculated attributes back to Databricks without maintaining another export pipeline. Analysts can use the resulting customer context alongside operational and business data in their existing lakehouse workflows.

Create a shared foundation for marketing and analytics

Give technical and business teams access to the same resolved customer identities. Marketing can build audiences and experiences while analytics teams use consistent customer definitions for measurement and reporting.

Analyze customer behavior with shared profiles

Share identity-resolved profiles and available customer history with Databricks. Analysts can examine customer behavior alongside other lakehouse data and use the resulting insights in supported downstream workflows.

A global footwear company connects 12 brands

A global footwear company used Amperity with Databricks to unify customer identity across 12 brands in 65 countries. Its case study reports a 15% gain in coding efficiency and thousands of lines of code automated each week across the broader deployment.

Databricks integration FAQs

Put Databricks customer data to work

Connect Databricks and Amperity without duplicating data or maintaining another ETL pipeline. Build trusted profiles and make them available across analytics and activation workflows.

Request a demoSee Databricks docs