Streamline secure, two-way data sharing—no manual pipelines required.

The new Databricks Delta Sharing connection enables scalable, governed data flows between BlueConic and your Databricks lakehouse. You can now import and export customer data—both profile and timeline—directly via Delta Sharing, without relying on CSVs, SFTP, or intermediary storage.

This setup minimizes operational complexity while giving marketing and data science teams real-time access to fresher, more usable data. Configuration happens directly in the BlueConic UI, while Databricks teams can securely add BlueConic as a recipient using account-level identifiers and Change Data Feed for incremental sync.

Benefits:
• Reduces overhead and setup time compared to manual file-based flows
• Shares profile and timeline data securely using open Delta Sharing standards
• Keeps customer data fresher for timely activation and advanced analytics
• Aligns with lakehouse-native workflows and composable CDP architectures

This feature is available in beta. Contact support to learn more.

Dive into a seamless connection with our brand-new Google Analytics 4 Integration, now in public beta! Easily attribute revenue and ROI metrics to your experiences, all within a self-serve interface. All you need to get started is a login to Jebbit and Google analytics and you must use a custom domain.

To learn more, read our documentation.

Q3-2025 Release

BlueConic now supports sharing profile data to Snowflake using Secure Data Sharing. This expands on our existing import functionality, making it easier than ever to connect BlueConic and Snowflake securely and efficiently—without relying on credentials or manual file handling.
Highlights include:

• Credential-free data access using Snowflake's Secure Data Share
• Support for micro-batch scheduling and property-level controls

This feature is available in beta. Contact support to join the program or learn more.

Q2-2025 Release

You can now import profiles directly from Snowflake using Secure Data Sharing—no need for S3 or CSV files. Set up directly from the Snowflake Connection’s run page by selecting your cloud platform and region.

To learn how, read our documentation.