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.
Request a demoSee Databricks docsTurn 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.
Read the customer story
Databricks integration FAQs
Does Amperity copy data out of Databricks?
Is OpenSharing the same as Delta Sharing?
Can Amperity send data back to Databricks?
What security controls protect the connection?
What happens when a Databricks schema changes?
How often does Amperity sync with Databricks?
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