Reltio Data Sharing with Databricks architecture
Learn how Reltio shares data with Databricks using Delta Sharing .
Reltio Data Sharing with Databricks automates the infrastructure needed to stage, convert, and share Delta Lake-formatted Reltio data to your Databricks Unity Catalog using Delta Sharing . This architecture enables fast, secure, and governed access to trusted Reltio data for your AI/ML and analytics teams without any data movement or copy.
The following diagram shows how Reltio shares data with your Databricks workspace:
How the architecture works
The diagram illustrates the flow of data from the Reltio Data Cloud to your Databricks environment:
- Data pipeline service in Reltio — Events from the Reltio Data Cloud, such as entities, relationships, and interactions, flow into the Data Pipeline Service. The service queues, stages, and prepares the data for sharing.
- Data Share with Databricks — The data is transformed into the open Delta Lake table format and securely shared with the sharing identifier provided at the time of data share setup.
- Consumption in Databricks tools — Once data is available in the Unity Catalog, your users can analyze and govern it through Databricks services and applications.
End-to-end data sharing
With this architecture, each customer tenant receives Reltio data directly in their own Databricks Unity Catalog. This design ensures that your data is AI-ready and governed when it reaches Databricks, so your teams can immediately use it for analytics, reporting, and compliance without additional integration work.