For production teams already relying heavily on streaming tables within DLT, introducing a split pipeline with downstream all-purpose clusters can indeed increase orchestration complexity and operational overhead. https://www.databricks.com/blog/2025-dlt-update-intelligent-fully-governed-data-pipelines  @Sujitha  @Advika  request your view on ongoing Databricks platform releases for news on native DLT Kafka improvements

if strict separation causes issues, you may want to assess if an interim solution (e.g., using Delta tables as integration boundaries with workflow automation) balances resilience and manageability for your production setup