Large data syncs in the low-code designer and embedded workflow builder

Custom connector triggers can now split the records they fetch into batches, so a flow in the low-code designer or embedded workflow builder can sync large datasets without one long-running execution doing all the work. This brings the code-native batchFlowTrigger pattern to low-code flows and embedded workflows.

This is useful when polling for new records from a third-party API, or when efficiently backfilling existing records on instance deployment.

See large data syncs in custom triggers for usage and code examples.

We've updated polling triggers in our Salesforce, HubSpot, and PostgreSQL connectors to use this new pattern, with more to come!