Understanding Dynamic Connection Passthrough
Blog post from Starburst
Dynamic connection passthrough is a feature developed by Starburst that allows a single catalog to accept runtime connection contexts at query time, thus eliminating the need for static catalog properties and reducing the complexity of managing multiple data environments. This approach enables organizations to handle multiple data sources more efficiently as it allows the injection of extra credentials at query execution, which dynamically determines the appropriate remote account or configuration to use. By treating the catalog as a reusable template and shifting the complexity from the platform layer to the application layer, dynamic connection passthrough facilitates the support of ephemeral or sandbox environments, multi-tenant analytics, and reduces the operational burden associated with managing numerous catalogs. This feature is supported by connectors such as Snowflake, PostgreSQL, BigQuery, and Iceberg, each requiring specific runtime credentials but adhering to a consistent operational pattern. As the concept expands, it aims to provide a more scalable and adaptable architecture for data virtualization and platform scaling, allowing a more streamlined and predictable interface for applications across diverse data ecosystems.